Top 112 Innodata Jobs

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Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc. —Ridgefield Park, NJ
- $175,000 - $225,000 a year
- Remote
- Computer Science
- 5 years
- Analysis skills
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Generative AI Associate - Flexible Hours
Innodata Inc. —Remote
- $15 an hour
- Full-time
- English
- Research
- Master's degree
- Flexible schedule
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Generative AI Annotator - Flexible Hours
Innodata Inc. —Remote
- $15 an hour
- Full-time
- English
- Mid-level
- Master's degree
- Flexible schedule
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Audio Engineer
Innodata Inc. —Ridgefield Park, NJ
- $120,000 - $160,000 a year
- Mid-level
- Python
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Senior Book Buyer
Innodata Inc. —Remote
- $35 - $40 an hour
- Remote
- Analysis skills
- Contracts
- Senior level
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4d
Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc. —Ridgefield Park, NJ
- $150,000 - $175,000 a year
- Remote
- 5 years
- HIPAA
- SQL
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5d
AI Content - Flexible Hours
Innodata Inc. —South Salt Lake, UT
- $15 an hour
- Full-time
- Remote
- English
- Mid-level
- Master's degree
- Flexible schedule
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Data AI Annotator - Flexible Hours
Innodata Inc. —Boise, ID
- $15 an hour
- Full-time
- Remote
- English
- Master's degree
- Bachelor's degree
- Flexible schedule
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AI/ML Research Engineer, LLM Post-Training & Evaluation
Innodata Inc. —Ridgefield Park, NJ
- $80,000 - $175,000 a year
- Remote
- Computer science
- Computer Science
- Bachelor of Science
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Motion Capture Lab Manager
Innodata Inc. —Saddle Brook, NJ
- $120,000 - $160,000 a year
- Senior level
- Python
Quick Apply
Robotics Data Collection Delivery Manager
Innodata Inc. —San Francisco, CA
- $120,000 - $180,000 a year
- Remote
- 5 years
- Bachelor's degree
- Senior level
Quick Apply
11d
Subject Matter Experts
Innodata Inc. —Remote
- $75 - $100 an hour
- Remote
- English
- Research
- Master's degree
Quick Apply
8h
AI Workflow Associate - Flexible Hours
Innodata Inc. —Virginia Beach, VA
- $15 an hour
- Full-time
- Remote
- English
- Master's degree
- Bachelor's degree
- Flexible schedule
Quick Apply
AI Workflow Specialist - Flexible Hours
Innodata Inc. —Juneau, AK
- $15 an hour
- Full-time
- Remote
- English
- Mid-level
- Master's degree
- Flexible schedule
Quick Apply
Generative AI Specialist - Flexible Hours
Innodata Inc. —Omaha, NE
- $15 an hour
- Full-time
- Remote
- English
- Research
- Mid-level
- Flexible schedule
Quick Apply
Applied Data Scientist, Finance AI Evaluation & Datasets
Innodata Inc. —Ridgefield Park, NJ
- $150,000 - $175,000 a year
- Call employer
- Remote
- 5 years
- Finance
- SQL
Quick Apply
5d
Applied AI Analyst - Flexible Hours
Innodata Inc. —Maryland City, MD
- $15 an hour
- Full-time
- English
- Mid-level
- Master's degree
- Flexible schedule
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AI Training Specialist - Flexible Hours
Innodata Inc. —Fargo, ND
- $15 an hour
- Full-time
- Remote
- English
- Mid-level
- Master's degree
- Flexible schedule
Quick Apply
Office Manager 6am-2pm
Innodata Inc. —Ridgefield Park, NJ
- $20 - $25 an hour
- Part-time
- Spanish
- Microsoft Outlook
- Office
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Robotics Solutions Engineer – Robotics Data Collection & Physical AI
Innodata Inc. —Ridgefield Park, NJ
- $150,000 - $230,000 a year
- Remote
- Computer science
- Computer Science
- 3 years
Quick Apply

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Applied Research Scientist, LLM Evaluation & Post-Training

Innodata Inc. -
Ridgefield Park, NJ

Quick Apply

Job Details

$175,000 - $225,000 a year

Qualifications

AI models
TensorFlow
Evaluation research
Engineering stress testing
Experimental data reports
Stress testing simulations
Customer communication
Quantitative applied research
Data visualization software proficiency
Content creation for technical audiences
Statistics
Computer Science
Applied Mathematics
PyTorch
Tooling
Technical documentation
5 years
Design of experiments
Generative models
Reliability analysis
AI platforms (beyond public GPTs)
Computational framework
Taxonomy
Research project design
Collaborative research
Doctoral degree in Computer Science
Quality performance measurement
Research project technical leadership
Analysis skills
Machine intelligence

Full Job Description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

Innodata is expanding its GenAI research capability to advance state-of-the-art evaluation and post-training methods for LLM and multimodal systems. As an Applied Research Scientist, LLM Evaluation & Post-Training, you will lead research and experimentation on how evaluation design, measurement strategies, and feedback signals influence model improvement.

This role is ideal for a technically rigorous researcher who is deeply fluent in modern LLM evaluation and post-training, and who can turn research insight into practical methods for customer solutions and internal platform innovation. You will work across human-in-the-loop and AI-augmented workflows, partnering with Language Data Scientists and AI/ML Research Engineers to design and validate evaluation frameworks that drive measurable model gains.

The ideal candidate combines strong experimental and statistical judgment with hands-on technical ability and can engage as a peer with research and engineering stakeholders at leading AI companies.

What You'll Own:

As an Applied Research Scientist, LLM Evaluation & Post-Training, you will help define the next generation of evaluation-driven model improvement workflows. You will study how different evaluation approaches (human, automated, hybrid) shape model selection and post-training outcomes, and you will design experiments that produce credible, actionable conclusions.

Your work may include designing benchmark datasets, developing evaluation taxonomies and protocols, defining metrics and scoring methodologies, analyzing failure modes, and testing how changes in evaluation setup affect downstream fine-tuning results. You will also support customer engagements by bringing scientific rigor to evaluation strategy, methodology review, and technical recommendations.

This is a highly collaborative role that sits at the intersection of research, engineering, and language/data operations. Additional responsibilities include (but are not limited to):

Define and execute a research agenda focused on LLM evaluation and post-training, especially evaluation-driven model improvement
Design rigorous experiments to study how evaluation methodologies impact fine-tuning and post-training outcomes
Develop and validate evaluation frameworks for LLM and multimodal systems, including:
- benchmark/task design
- scoring methods
- judge/model-assisted evaluation
- human evaluation protocols
- robustness/stress testing
Lead research on advanced evaluation domains, including long-context, cross-modal, and dynamic multi-turn evaluations
Study the effectiveness and limitations of existing evaluation techniques, and propose improved methodologies with clear validity and scalability tradeoffs
Analyze model behavior and failure patterns; generate actionable recommendations for model improvement and evaluation redesign
Collaborate with AI/ML Research Engineers to translate research methods into scalable evaluation and post-training pipelines
Collaborate with Language Data Scientists to integrate human-in-the-loop and synthetic data/evaluation strategies into research programs
Engage with customer technical stakeholders to understand evaluation goals, review methodologies, and provide expert recommendations
Contribute to internal benchmark datasets, evaluation frameworks, and reusable research assets
Produce high-quality technical documentation, internal research reports, and client-facing materials explaining methods, results, assumptions, and limitations
Contribute to thought leadership and best practices in LLM evaluation, post-training, and GenAI quality measurement

You'll Thrive in This Role If You Have:

MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, AI, or a related quantitative scientific field (PhD strongly preferred)
5+ years of relevant experience in applied research / research science in ML/AI, with substantial work in LLMs or foundation models
Demonstrated experience with LLM evaluation, benchmarking, alignment, post-training, or model quality research
Strong foundation in experimental design, statistical analysis, and scientific reasoning for ML systems
Strong coding skills in Python for research experimentation and analysis (e.g., data processing, evaluation pipelines, statistical analysis, visualization)
Experience working with modern ML tooling/frameworks (e.g., PyTorch, Hugging Face, JAX/TensorFlow as applicable) sufficient to design and execute model/evaluation experiments
Ability to evaluate and compare human and automated evaluation methods, including tradeoffs in cost, reliability, validity, and scalability
Experience designing evaluation studies and protocols that are reproducible across datasets, model versions, and evaluation runs
Ability to collaborate directly with technical stakeholders including research scientists, ML engineers, data scientists, and customer technical counterparts
Strong communication skills and ability to present nuanced technical conclusions, assumptions, and limitations clearly

The expected salary range for this position is $175,000 – $225,000 USD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you've been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.

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Refine Your Search

innodata jobs

Applied Research Scientist, LLM Evaluation & Post-Training

Generative AI Associate - Flexible Hours

Generative AI Annotator - Flexible Hours

Audio Engineer

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Applied Data Scientist, Health AI Evaluation & Datasets

AI Content - Flexible Hours

Data AI Annotator - Flexible Hours

AI/ML Research Engineer, LLM Post-Training & Evaluation

Motion Capture Lab Manager

Robotics Data Collection Delivery Manager

Subject Matter Experts

AI Workflow Associate - Flexible Hours

AI Workflow Specialist - Flexible Hours

Generative AI Specialist - Flexible Hours

Applied Data Scientist, Finance AI Evaluation & Datasets

Applied AI Analyst - Flexible Hours

AI Training Specialist - Flexible Hours

Office Manager 6am-2pm

Robotics Solutions Engineer – Robotics Data Collection & Physical AI

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