Engineering & Computer Science Subject Matter Expert (Master/Phd)

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Engineering & Computer Science Subject Matter Expert (Master/PhD) – AI Training & Content Development

Job Title:

Engineering & Computer Science Subject Matter Expert – AI Training & Content Development

About Innodata:

Innodata (NASDAQ: INOD) is a global leader in data engineering and AI-powered solutions, partnering with 4 of the world’s top 5 technology companies and serving over 2,000 enterprise clients worldwide. With a workforce of 5,000+ subject matter experts and operations in 13 cities globally, Innodata leads in ML, NLP, and LLM development.

We combine deep domain expertise, advanced AI/ML capabilities, and high-security infrastructure to build next-generation AI systems that are more intelligent, context-aware, and safe.

About the Role:

We are seeking highly skilled Engineering & Computer Science SMEs with exceptional technical expertise, research ability, and content creation skills to join our AI/LLM training team. You will design, curate, and review technical content that enhances AI’s understanding of engineering disciplines, computing systems, algorithms, software engineering principles, and applied technologies.

Key Responsibilities:

Content Development:

• Create high-quality technical content, including:
• Problem-solving exercises and step-by-step solutions
• Theoretical and applied engineering summaries
• Software design patterns, coding best practices, and algorithm explanations
• Technical documentation, system architecture diagrams, and engineering principles
• Cover multiple domains, including (but not limited to):
• Engineering: Electrical, Mechanical, Civil, Industrial, Systems, and Robotics
• Computer Science: Data Structures, Algorithms, Operating Systems, Computer Architecture, Cybersecurity, and AI/ML
• Software Engineering: Full-stack development, DevOps, Cloud Computing, Databases, and Distributed Systems
• Review AI-generated responses to complex technical questions for accuracy and completeness
• Identify and correct conceptual gaps, computational errors, and ambiguous phrasing
• Develop evaluation rubrics to improve AI reasoning

Research & Technical Collaboration:

• Collaborate with engineers, computational linguists, and AI researchers to refine datasets and model performance
• Contribute insights on systems engineering principles, optimization, and software development lifecycles
• Support AI ethics and safety efforts to ensure responsible deployment of technical knowledge

Eligibility Criteria:

• Master’s or PhD in Engineering, Computer Science, Software Engineering, or related STEM field
• Strong foundation in CS concepts (Algorithms, Data Structures, Computational Complexity, etc.)
• Software Development Practices (Agile, DevOps, CI/CD)
• Demonstrated expertise in technical writing, curriculum development, or advanced R&D

Preferred Skills:

• Familiarity with ML, NLP, and LLMs (a plus)
• Hands-on experience with Python, C++, Java or similar
• Knowledge of distributed systems, cloud computing, and cybersecurity
• Strong ability to simplify complex concepts

Why Join Innodata?

• Influence AI reasoning in engineering and computing globally
• Work with world-class researchers, linguists, and technologists
• Contribute to cutting-edge AI development shaping industries worldwide
• Remote-first, flexible work arrangements and research-driven culture

Additional Information:

• Candidates must complete an English Language Assessment.
• This step is mandatory and non-billable.

Medical Writer Subject Matter Expert

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 for major technology and industry clients.

By combining advanced ML/AI, a global workforce of SMEs, and high-security infrastructure, Innodata enables next-generation AI systems.

About the Role:

We are seeking a Medical Writer SME with exceptional writing and analytical skills to join our AI/ML data team. You will help train LLMs by producing, curating, and reviewing high-quality medical and scientific content to shape AI understanding and communication of clinical information.

Key Responsibilities:

• Create high-quality, medically sound content including:
• Clinical and scientific explanations
• Research summaries, abstracts, and literature reviews
• Medical problem sets, case studies, and Q&A
• Regulatory, pharmacological, or public health-focused content (as applicable)

Eligibility Criteria:

• Master’s or PhD in Medicine, Biomedical Sciences, Pharmacy, Public Health, or related field
• (MD/DO/PharmD/MPH considered)
• Strong medical writing background with ability to communicate complex topics clearly
• Experience with literature review or regulatory writing a plus
• Familiarity with PubMed, Cochrane, and publishing standards

Additional Information:

As part of the project, you must complete the English language assessment (mandatory and non-billable).

Physics Subject Matter Expert (Master/PhD) – AI Training & Content Development

Job Title:

Physics SME – AI Training & Content Development

About Innodata:

Innodata is a global leader in data engineering and AI-powered solutions, working with top technology companies and enterprise clients. We employ 5,000+ SMEs across 13 locations.

About the Role:

We seek a Physics SME to develop, curate, and evaluate advanced physics content to improve AI reasoning and communication of physics concepts.

Key Responsibilities:

• Create high-quality physics datasets including conceptual explanations, problem sets, numerical solutions, and derivations
• Build domain-specific datasets across mechanics, thermodynamics, electromagnetism, quantum mechanics, particle physics, astrophysics, relativity, materials science, computational physics
• Evaluate LLM-generated physics content for accuracy and reasoning
• Collaborate with AI engineers to improve AI reasoning

Eligibility Criteria:

• Master’s or PhD in Physics or related field (PhD preferred)
• Strong background in theoretical/applied physics
• Experience in academic publishing or science communication

Preferred Skills:

• Familiarity with AI/ML models, data annotation, prompt engineering
• LaTeX, Python, or scientific computing tools

Why Join Innodata?

• Shape the future of AI by embedding physics expertise
• Collaborate with global researchers
• Influence AI scientific reasoning
• Remote-friendly with flexible teams

Additional Information:

• English Language Assessment required (mandatory and non-billable)

Mathematics/Statics Subject Matter Expert (Master/PhD) – AI Training & Content Development

Innodata: Global data engineering leader with 13 locations and 5,000+ SMEs.

About the Role:

We seek a Mathematics SME to train LLMs through high-quality mathematical content across domains such as Algebra, Calculus, Geometry, Linear Algebra, Probability, Statistics, Number Theory, and Discrete Math.

Key Responsibilities:

• Create pedagogically sound mathematical content: conceptual explanations, problem sets, solutions, derivations, abstracts
• Develop datasets across various math domains
• Collaborate to improve model reasoning and provide feedback

Eligibility Criteria:

• Master’s or PhD in Mathematics (MS with exceptional experience may be considered)
• Strong background in theoretical/applied math
• Excellent technical and academic writing

Additional Information:

English Language Assessment is mandatory and non-billable.

Biological / Chemistry Subject Matter Expert (Master/PhD) – AI Training & Content Development

Job Title:

Biological & Biomedical Sciences / Chemistry Subject Matter Expert – AI Training & Content Development

About Innodata:

Innodata is a global leader in data engineering and AI-powered technology solutions, serving 2,000+ enterprise customers in 13 cities with a global workforce of 5,000+ experts.

About the Role:

We seek SMEs in Biological & Biomedical Sciences and Chemistry to curate, validate, and create domain-specific content for AI model training and content development. You will contribute to LLM training and ensure scientific accuracy, regulatory compliance, and ethical standards.

Key Responsibilities:

• Develop scientifically accurate, domain-rich datasets in Biology, Biochemistry, Genetics, Pharmacology, Biomedical Engineering, Immunology, Microbiology, Biotechnology, Toxicology, and Chemical Engineering
• Produce research abstracts, SOPs, analytical chemistry workflows, and case studies
• Validate outputs for accuracy, reproducibility, and safety compliance
• Contribute to knowledge graph and ontology development for biological and chemical datasets

Cross-Disciplinary Collaboration:

• Collaborate with AI engineers, data scientists, and computational chemists
• Develop adversarial testing datasets for biomedical and chemical domains
• R&D input for AI applications in drug discovery and biomedical research

Eligibility Criteria:

• Advanced degree in Biology, Biomedical Sciences, Chemistry, or related field
• Experience in lab research, computational modeling, or chemical analysis
• Proven scientific writing or technical documentation
• Regulatory, safety, and ethical research familiarity

Additional Information:

• English Language Assessment required (mandatory and non-billable)

Biological / Chemistry Subject Matter Expert – Additional Notes

Same eligibility and responsibilities as above; English language assessment is mandatory and non-billable.