Team Management
Quick facts
- Type
- Part-time
- Location
- Remote
- Platform
- Turing — 225 open jobs
- Typical pay at Turing
- $15–25/hour · median $15 (19 jobs on our site)
- Payout
- Bank transfer, Deel (monthly)
- Apply
- Free to apply — never pay to get AI training work
This role is also open in other regions
Evaluate and improve AI responses through team leadership and testing.
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
About the Role
We are seeking highly qualified Team Management professionals to support the evaluation, testing, and continuous improvement of advanced Large Language Models (LLMs).
In this role, you will apply your expertise in team leadership, people management, performance management, workforce planning, and operational execution to assess AI-generated responses. You will identify knowledge gaps, design challenging real-world prompts, evaluate model reasoning, and help improve the accuracy, reliability, and practical usefulness of AI systems.
Key Responsibilities
- Create complex, domain-specific prompts to test LLM capabilities.
- Evaluate AI-generated responses for factual accuracy, reasoning, relevance, and overall quality.
- Identify factual errors, logical inconsistencies, knowledge gaps, and model weaknesses.
- Develop challenging test cases and edge cases that expose model limitations.
- Provide clear, detailed, and evidence-based feedback to improve model performance.
Minimum Qualifications
- Master’s degree or higher in a relevant field.
- At least three years of professional, research, or teaching experience.
- Excellent written English communication skills.
- Strong analytical and critical-thinking abilities.
- Exceptional attention to detail.
Preferred Qualifications
- Experience working with LLMs or Generative AI.
- Familiarity with prompt engineering, AI evaluation, or model testing.
- Experience designing challenging prompts, identifying edge cases, or stress-testing AI models.
Ideal Candidate
The ideal candidate is curious, detail-oriented, and deeply knowledgeable in their field. They enjoy solving complex problems, challenging assumptions, and identifying subtle factual or reasoning errors. Experience designing prompts that uncover model limitations and improve AI performance will be a strong advantage.
Skills: Business Analysis
Turing started as a marketplace for remote software engineers and now focuses on training and evaluating AI models for frontier labs. Most listings are for developers who write, review and debug code used to improve LLM coding ability.