Data Scientist – AI Model Training & Evaluation
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-06-12
Listing for:
Alignerr
Apprenticeship/Internship
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
About The Role
AI is only as good as the experts who evaluate it. We're looking for data scientists to help train, evaluate, and improve next‑generation AI systems that are reshaping the world of technology. You'll bring deep expertise in statistics, machine learning, and data analysis to assess AI outputs, build evaluation frameworks, and ensure these systems deliver accurate, reliable, and unbiased results.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
- Evaluate AI model outputs for accuracy, reasoning quality, and statistical soundness
- Design and apply data‑driven evaluation criteria and scoring rubrics
- Analyze patterns in AI‑generated responses to identify systematic errors or biases
- Create high‑quality training data including prompts, solutions, and annotations in your areas of expertise
- Provide structured, detailed feedback to improve model performance across data science and analytical tasks
- Review AI‑generated code, visualizations, and statistical analyses for correctness
- Work independently and asynchronously on your own schedule
- Degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (MS or PhD preferred)
- Strong foundation in statistics, probability, and machine learning concepts
- Proficiency in Python, R, SQL, or similar data analysis tools
- Experience with data wrangling, exploratory data analysis, and model evaluation
- Excellent analytical thinking with sharp attention to detail
- Clear written communication in English — able to explain complex technical concepts simply
- Self‑motivated and comfortable working independently
- Experience with deep learning frameworks such as PyTorch or Tensor Flow
- Familiarity with NLP, LLMs, or AI evaluation workflows
- Published research or industry experience in applied machine learning
- Background in A/B testing, causal inference, or experimental design
- Work on cutting‑edge AI projects shaping the future of technology
- Collaborate with top research labs and AI teams globally
- Fully remote and flexible — work on your own schedule, as much or as little as you like
- Gain deep, firsthand exposure to how state‑of‑the‑art LLMs are trained and evaluated
- Be part of a growing community of expert contributors making AI smarter and more reliable
- Potential for ongoing work and long‑term contract extension
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×