Data Science Methodology SME

OpenTrain AI, Inc.; USA; Remote; USD 83.000 - 138.000; Teilzeit

Zusammenfassung

OpenTrain AI, Inc. seeks a remote, part-time contractor to evaluate large language model behavior in complex data pipelines. You will write structured test cases, assess model outputs, and help improve analytic methods.

The role focuses on scalable analysis, pipeline integration, and documenting edge cases with clear recommendations. Ideal candidates have strong written English, the ability to explain technical ideas clearly, and experience with AI training projects.

Qualifikationen

• Entry level experience preferred in data science or AI training fields.
• Experience integrating large language models into data pipelines is desirable.
• Familiarity with evaluation frameworks or benchmark design will help in this role.
• Experience teaching, mentoring, or providing technical leadership is a plus.

Aufgaben

• Map scaled-analysis and pipeline-integration scenarios to an established evaluation taxonomy.
• Write detailed cases covering automated triage, data enrichment, analysis at scale, and realistic failure modes.
• Evaluate and grade model responses for source handling, reasoning, limitations, and practical usefulness.
• Identify over-refusal that could block legitimate analysis or interrupt pipeline continuity.
• Document difficult edge cases and emerging concerns in analytic methodology.
• Give clear written and verbal recommendations to support iterative improvement.

Kenntnisse

Written English

Data science concepts

Evaluation benchmarking

Technical leadership

Ausbildung

Entry-level experience

Tools

LLM integration

Benchmark design

Jobbeschreibung

Evaluate large language model behavior in complex data pipelines, write structured test cases, and improve analytic methods as a remote contractor earning $60 to $100 per hour.

Remote Hourly · $60–$100/hr

$60–$100/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 23, 2026

Posted

Open in 52 countries

India + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The Work

You will support AI training projects that test how well large language models handle real-world data science and analytic workflows. Your work will cover scaled analysis, pipeline integration, automation failures, over-refusal, and the practical value of model outputs.

You will turn analytic scenarios into structured evaluation cases, assess model responses, and explain where reasoning, source handling, limitations, or methodology need improvement.

• Map scaled-analysis and pipeline-integration scenarios to an established evaluation taxonomy.
• Write detailed cases covering automated triage, data enrichment, analysis at scale, and realistic failure modes.
• Evaluate and grade model responses for source handling, reasoning, limitations, and practical usefulness.
• Identify over-refusal that could block legitimate analysis or interrupt pipeline continuity.
• Document difficult edge cases and emerging concerns in analytic methodology.
• Give clear written and verbal recommendations to support iterative improvement.

What It Pays And Takes

This is a remote, part-time contractor role for candidates in the countries specified for the project. The work requires strong written English and the ability to explain complex technical ideas clearly.

• Pay: $60 to $100 per hour.
• Location: Open to candidates in the listed countries.
• Experience level: Entry level.
• Experience integrating large language models, including government GPT variants or equivalent systems, into complex data or analytic pipelines.
• Experience conducting analysis at scale, rather than only one-off analysis.
• Understanding of automation failure modes, evaluation metrics, and analytic methodology.
• Experience teaching, mentoring, or providing technical leadership in data science or a related field.
• Familiarity with evaluation frameworks or benchmark design.
• Helpful background: Defense, intelligence, or government analytics experience, plus the ability to work in distributed international environments with minimal clearance constraints.

About AI Training Work

AI training is the human work behind modern artificial intelligence, including testing model answers, rating performance, and preparing examples that help systems improve. OpenTrain helps people find these projects, build a profile, and develop a portfolio of AI training and data-labeling experience.

Requirements

• Experience: Entry level