734 AI Specialist jobs in Canada

Job Description

Job Description

Salary:

About Us

Mission Control empowers explorers to advance their space missions. We innovate to make modern software viable to use in space, unlocking the potential of new scientific and commercial opportunities on Earth, Moon, Mars, and Beyond.

We have a clear vision: to be a workplace where a diverse and thoughtful mix of talented people want to learn and do their best work. We are inspired by a vision of the world in which access to space is ubiquitous and inspires all humans to treasure planet Earth and marvel at the universe.

Please visit our website to learn more about our team and ongoing projects:

About the Job

Mission Control is seeking an AI Specialist to expand our technology portfolio for mission operations and onboard autonomy.

As part of our AI & Autonomy team you will develop technology that pushes the boundaries of the possible with onboard AI for earth-orbiting spacecraft, lunar rovers, and more.

The ideal candidate is passionate about building Artificial Intelligence technologies across Technology Readiness Levels for planetary science, earth observation, deep space health, on-orbit servicing, and space domain awareness. We are seeking candidates who enjoy critical and strategic thinking, have a deep understanding of machine learning techniques and their application in industry, thrive on technical communication with multiple stakeholders internally and externally, and find creative solutions to meet the challenges of everything from fundamental R&D to flight mission operations.

You could be a good fit for this role if you are passionate about making an impact on the space sector and want to contribute to growing a small company from the ground up! You will be exposed to a wide variety of tasks with the potential to make a difference in global firsts for AI in space, so you must be a versatile self-starter who work well in teams and isnt afraid to learn something new.

You will support and become a critical member of our team a team of engineers, scientists, and space enthusiasts, who are passionate about being part of humanitys next bold steps in space exploration, with a view to inspiring the next generation and the public through our work and our contributions to exploring the solar system!

Tasks and Responsibilities

As an AI Specialist you will:

• Collaborate with fellow AI Specialists, Software Engineers, and Robotics Experts to research, design, develop, and evaluate cutting-edge AI algorithms to address space mission challenges.

• Perform hand-on collection, curation, analysis and modeling of small and large datasets to develop actionable insights and build foundation models for space applications.

• Design, develop, and evaluate innovative model architectures
  that are deployed to embedded flight processors under strict size, weight, power, thermal, and radiation requirements.

• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

• Ensure trustworthy performance and graceful failure modes by verifying and validating the integrity of training data and the
  behaviour of models under edge cases as part of integrated robotic systems.

• Contribute to our team culture with a positive and start-up oriented attitude we have a collegial team with a wide range of hobbies and interests.
  

Skills and Experience

As an AI Specialist you have:

• 2-5 years of work experience in technology development, data science, R&D or related fields

• A Bachelors degree in a technical discipline, e.g. engineering, physics, data science, computer science, mathematics etc., graduate degree an asset

• Expertise in developing and executing learning frameworks (e.g., supervised, semi-supervised, etc.) for convolutional neural networks, transformers, recurrent neural networks, generative adversarial networks, or other architectures to solve problems in computer vision, signal processing, data fusion, or other applications; Experience in developing models deployed in operational environments an asset

• Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet; experience with machine learning platforms like Neptune.ai and Labelbox an asset

• Knowledge of Machine Learning data and model development best practices and ethics frameworks; an understanding of user needs, data integrity, flight software validation and verification
  and mission critical technology an asset

• Ability to work independently and oversee the work of junior and intermediate technical staff, adapting to changing needs across projects and programs

• Ability to communicate with and present ideas and concepts to executive leadership, engineering
  management, and technical teams

• Bonus points for experience working with satellite earth observation or planetary rover imagery; familiarity with ESA, NASA, and/or CSA technology development phases and standards; familiarity with government procurement processes and RFPs.

Special Comments

Security: Successful candidates must be eligible to obtain a security clearance in Canada at the reliability status level (and potentially at the higher levels), and pass security assessment for the Controlled Goods Program (CGP).

Due to the security clearance required for Mission Control's facilities, only Canadian Citizen's and Permanent Residents are eligible at this time.

Location

Mission Control is located in Ottawa, Ontario.

Some travel may be required at certain times for this role, always following the Health and Safety Guidance of the Government of Canada.

Whats In It For You?

• Be on the forefront of space exploration and the emerging commercial space industry.

• Work to solve problems with a team of intelligent, fun people!

• Comprehensive Compensation and Benefits Package including vacation pay, wellness plan (health, vision, dental) and unlimited unpaid time off.

• Relocation assistance for eligible employees.

• Participation in Employee Stock Option Plan.

• Flexible working hours.

• Work in a respectful and inclusive workplace. It is extremely important to us that all employees feel safe and supported at work, and feel able to bring their whole selves to work.

• Be part of a family-friendly company, where we understand the needs of working parents with young children (because many of us are too!).

• Bi-weekly coffee chats for connecting with colleagues socially, and for mentorship by senior staff.

How To Apply

Please apply directly through this posting, or send your application by email to Application materials include:

• Cover letter and resume as a single PDF (required)

• Portfolio material, references, or other indications of exceptional past work (optional)

During the hiring process we may ask to see examples of previous work or ask for a small project.

As part of our commitment to an inclusive work environment, we accept and encourage anonymized resumes.

We will accept applications until the position is filled. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Title: Generative AI Specialist - Humanities (English)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Are you passionate about harnessing the power of cloud and AI to drive transformation? Step into the role of Cloud & AI Specialist on Microsoft's Public Sector team and drive meaningful innovation across the Federal Government in how they deliver citizen services and national initiatives. You'll accelerate Azure adoption across Canada, collaborating with a passionate team of Solution Engineers and cross-functional experts. Together, you'll design impactful, future-ready solutions that address complex challenges, and create lasting value for citizens and government employees alike.
As a Cloud & AI Specialist - Federal Public Sector, you are both a business leader and a trusted technical advisor within Microsoft's enterprise sales organization, working with our most important Federal Government customers in Canada. You bring a unique blend of deep technical expertise and sharp business acumen to drive Azure adoption and AI transformation. In this role, you will advance customer engagements to achieve, and exceed, quarterly Azure consumption targets across Infrastructure, Data, and AI platforms in your assigned accounts. You have the executive presence to engage confidently with decision-makers, inspiring them to imagine new possibilities through the Microsoft Cloud.
You will lead a virtual team of sales, technical, and services professionals to help customers turn vision into reality. From identifying high-impact projects to building compelling business cases and driving them to production, you will guide customers through their transformation journey. You will build and sustain strong relationships at the CxO level, influencing long-term strategic direction and acting as a trusted advisor to business and technology leaders.
Your work will help customers evaluate cloud strategies, modernize applications and data, and adopt innovative AI solutions. You will anticipate and remove roadblocks to ensure smooth deployments, driving both customer satisfaction and measurable results.
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We bring a growth mindset to our work, innovate to empower others, and collaborate to reach shared goals. We are guided by respect, integrity, and accountability, fostering an inclusive culture where everyone can succeed at work and beyond.
**Responsibilities**
**Responsibilities**
**Sales Execution**
+ **Inspire with insight:** Bring impactful industry perspectives into every customer conversation, positioning yourself as a trusted thought leader. Advise Higher Education institutions across business functions on their digital transformation journey, leading virtual transformational shifts that drive deployment and create measurable business value. Integrate partners into account and territory planning to deliver holistic, impactful engagements.
+ **Drive new opportunities:** Orchestrate with your team to run targeted campaigns, uncover fresh opportunities, and generate high-quality engagements. Lead strategic conversations with high-potential customers, those with significant budgets, competitive landscapes, or global reach in partnership with account teams and partners.
+ **Build pipeline and guide strategy:** Facilitate collaboration across the Account Team Unit (ATU) and Specialist Team Unit (STU) to build a strong pipeline. Mentor others on effective social selling practices. Apply Microsoft's proven sales process to qualify opportunities, decide where to focus, and guide customers on the most effective ways to achieve their goals with Microsoft solutions.
**Scaling and Collaboration**
+ **Expand impact through partnerships:** Plan and execute opportunities by engaging the right resources and partners to cross-sell and up-sell across solution areas. Identify, validate, and coordinate partner solutions that align with customer priorities. Provide input to Global Partner Solutions (GPS) to refine partner strategies and connect ecosystems that drive business growth.
+ **Lead collaborative orchestration:** Bring together internal stakeholders and external partners-including the Enterprise Operating Unit using a holistic, territory-wide approach. Position opportunities to promote collaboration, participation, and maximum value creation for customers.
**Technical Knowledge**
+ **Maintain deep cloud expertise:** Hold or actively pursue Azure Fundamentals certification and sustain at least 200-level technical knowledge. Apply this expertise to engage credibly with technical stakeholders, guiding decisions and driving solution adoption.
**Sales Excellence**
+ **Shape markets and spark innovation:** Grow the Canadian education market by uniting technical expertise, industry insights, strategic partners, and resources to deliver groundbreaking solutions. Lead teams in exploring emerging opportunities, refining solution portfolios, and empowering innovation across Canada's Higher Education sector.
**Qualifications**
**Qualifications**
**Required/minimum qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, Information Security, or related field AND 4+ years experience in technology-related sales or account management OR equivalent experience.
+ 2+ years solution or services sales experience.
**Additional or preferred qualifications**
+ Master's Degree in Business Administration (i.e., MBA), Information Technology, Information Security, or related field AND 6+ years experience in technology-related sales or account management OR Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 8+ years experience in technology-related sales or account management OR equivalent experience.
+ 4+ years solution or services sales experience.
+ Experience working with or selling into Higher Education.
Solution Area Specialists IC4 - The typical base pay range for this role across Canada is CAD $103,500 - CAD $170,700 per year.
Find additional pay information here:
will accept applications for the role until October 15, 2025.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Are you passionate about driving cloud transformation in the public sector? Join our dynamic team as a Cloud & AI Solution Specialist, where you will play a pivotal role in accelerating Microsoft Azure adoption in the province of Alberta. You will collaborate with a high-performing team of Solution Engineers and cross-functional stakeholders to deliver impactful cloud solutions that address complex customer needs.
As a Cloud & AI Specialist, you are a business leader with deep technical and business knowledge within our public sector sales organization, working with our most important customers in Alberta. A core competency of the role is to advance the engagement process to achieve/exceed quarterly Azure consumption targets across Infrastructure, Data, and AI platforms in your assigned account(s). You possess executive presence, you are able to engage with decision makers to drive AI transformation, and have an insatiable interest for learning how Azure cloud services can deliver digital transformation. You will lead a virtual team of sales, technical, and services resources to help customers realize transformation through cloud computing. You will identify projects, build a compelling business case, and drive the consumption project to production. You will build and maintain relationships with customers, influence long-term strategic direction and act as a trusted advisor driving engagement at the CXO/Deputy Minister level with business and technology decision makers. You will help customers evaluate their cloud strategy, determine approaches to application and data migration and modernization, and recommend solutions that meet their requirements. You will remove roadblocks to deployment and drive customer satisfaction.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Sales Execution**
+ Brings impactful industry insights into customer engagements and closes deals with customers. Acts as a thought leader across solution areas to advise customers across business functions on digital transformation. Leads virtual transformational shifts to drive deployment and create business value for customers. May lead partner integration into account/territory planning and customer engagements. Provides thought leadership.
+ Orchestrates with team members on conducting personal campaigns to discover new opportunities and generate new leads. Leads conversations with strategic/high-potential customers along with account teams or partners. Facilitates the account team unit (ATU) and/or Specialist Team Unit (STU) to build pipeline in collaboration with partners and services. Guides others on social selling. Applies Microsoft's sales process to determine the quality of the opportunity and whether to proceed and educate the customers on how to best address their needs.
**Scaling and Collaboration**
+ Leads the planning and execution on opportunities with resources and partners to cross-sell and up-sell. Identifies, leverages, and coordinates partners and resources across solution areas. Validates partner solution relevance for customers. Provides input and feedback to Enterprise Partner Solutions (EPS) on developing partner strategies and connects the partner ecosystems to scale business results.
+ Leads the sales orchestration with internal stakeholders and partners (e.g., Enterprise Operating Unit). Applies a holistic approach to build network across territories. Positions opportunities to promote collaboration and participation.
**Technical Knowledge**
+ Requires a 200 level technical knowledge and has completed or is pursuing completion of Azure 900 level certifications
**Sales Excellence**
+ Builds and transforms new markets by leveraging technical and industry knowledge, partners, and resources. Leads a team to explore business and emerging opportunities to optimize the portfolio and facilitate customer innovation.
**Qualifications**
**Required/Minimum Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 6+ years experience in technology-related sales or account management OR equivalent experience.
+ Knowledge of Cloud & AI
**Additional or Preferred Qualifications**
+ 9+ years technology-related sales or account management experience
+ OR Bachelor's Degree in Information Technology, or related field AND 8+ years technology-related sales or account management experience
+ o OR Master's Degree in Business Administration (i.e., MBA), Information Technology, or related field AND 5+ years technology-related sales or account management experience.
+ 6+ years solution or services sales experience.
Solution Area Specialists IC5 - The typical base pay range for this role across Canada is CAD $142,800 - CAD $214,900 per year.
Find additional pay information here:
will accept applications for the role until October 8, 2025.
is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form ( .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Introduction**
Technology sales at IBM is evolving its way of working to break beyond boundaries with innovative approaches. Preferring to 'show' vs. 'tell', Client Engineering co-creates with clients, in real-time, on solutions to solve their hardest business challenges.
As an AI Specialist within our Client Engineering team, you'll harness your unique skills and perspectives to engage in the development and deployment of AI systems using our watsonx platform for pilots that lead to deployment of enterprise-scale solutions at start-up speed.
In a world where technology moves at speed, it's essential that we stay ahead of the curve to provide tailored solutions that meet our clients' needs. It's not enough for us to have the technical expertise. We need to be great with people, too. To empathize. To understand. To collaborate on technical solutions that will improve lives all over the world.
Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of a team, you'll be surrounded by leaders and colleagues who are always willing to help and be helped - as you support pilots that compel clients to invest in IBM's products and services.
**Your role and responsibilities**
An AI Specialist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Your primary responsibilities will include, but not be limited to:
- Pre and Post Sales Pilots: Develop pilots to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with cross-functional teams to implement and iterate on pilots, ensuring alignment with customer requirements and expectations while adhering to best practices and quality standards.
- Solution Optimization and Performance: Continuously monitor and optimize the performance of AI solutions, including foundation models and large language models. Identify opportunities to enhance efficiency, accuracy, and speed through fine-tuning, algorithmic improvements, or infrastructure optimization to meet performance requirements.
- Collaboration and Project Management: Collaborate with cross-functional teams, including AI engineers, platforms engineers, and members of the sales team, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
To be successful in this role, you will need:
- Confidence to contact and engage potential new customers and deliver an elevated experience.
- Motivation to achieve sales, business objectives and high client satisfaction.
- Strong analytic, problem solving, and troubleshooting skills combined with an agile process.
- Embrace curiosity and a growth mindset.
Readiness to travel up to 50% annually.
**Required technical and professional expertise**
- Technical Education: B.S./M.S. in Computer Science, Artificial Intelligence, Data Science, Math, Statistics, Engineering or equivalent technical degree/experience.
- Programming: Working knowledge in Python, R, Java or language in similar discipline.
- Tech Savvy: Conversant about AI technology, latest industry trends and how it is being applied to address business challenges.
- Team Player: Demonstrates team collaboration and can navigate different communication styles.
- Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential.
- Self-Starter: Motivated to work with clients and can lead projects independently.
**Preferred technical and professional experience**
- Knowledge of AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
- Experience with LLM and foundational models.
- Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc.
- Familiarity with open source technology, automation and legacy coding (Cobol, C, Assembler) is a plus.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Job Title: Generative AI Specialist - Humanities (English and Tagalog)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Job Title: Generative AI Specialist - Humanities (English and Dutch)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Job Title: Generative AI Specialist - Humanities (English and Russian)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Job Title: Generative AI Specialist - Humanities (English and Bengali)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.