Role Description & Scope
Executive Role Brief & Verified Partner Routing
Join a high-impact reinforcement learning and benchmark evaluation program designed for experienced practitioners. The contract features transparent hourly remuneration at $50–$95/hr with zero platform commission deductions. Contributors in the PhD Biology Expert / Life Sciences Expert role leverage Python & Backend Engineering to benchmark model performance across high-difficulty domain scenarios. Operate with full schedule independence in a 100% remote environment backed by responsive technical operations support. Secure your spot in the current calibration wave by submitting your credentials through our verified partner routing link today.
- Primary Competency: Python & Backend Engineering
- Credential Tier: PhD
- Candidate Profile: Ideal for PhD software engineers and systems developers skilled in production code review, debugging, and algorithmic synthesis.
- Verified Compensation: $50 - $95 / hr
Direct Partner Application: Route your application via /go/turing-117705 for priority partner queue placement.
What is the role overview and compensation benchmark for this position?
This PhD Biology Expert / Life Sciences Expert position is a verified remote AI evaluation and domain training contract within the Mathematics & STEM discipline, offering direct contractor compensation of $50.0 to $95.0 per hour with weekly escrow disbursements. According to RemoteAIGig benchmark data tracking 613 verified contracts in 2026, compensation for specialized mathematics & stem evaluators averages $105/hr across leading platforms including Mercor, Scale AI, and micro1. Furthermore, our analysis indicates that qualified contractors working 20 flexible weekly hours earn between $3,600 and $9,200 monthly, representing a 28% premium over conventional corporate consulting arrangements. In practice, specialists audit frontier language models on domain accuracy, rubric alignment, and multi-step reasoning synthesis across 50 companies. Evaluators who maintain rubric consistency above 95% systematically receive allocations for high-priority private batch queues. The role provides fully asynchronous scheduling with zero geographic restrictions for qualified domain practitioners worldwide.
What are the primary responsibilities and evaluation criteria for this role?
Primary responsibilities for this PhD Biology Expert / Life Sciences Expert role require domain specialists to formulate rigorous benchmark evaluation rubrics, audit frontier reasoning model outputs for hallucination detection, and verify step-by-step analytical accuracy. According to RemoteAIGig evaluation standards validated across 613 verified openings in 2026, candidates assess complex domain scenarios requiring expertise in Python, Data Annotation. Furthermore, evaluators craft golden standard test cases with primary reference documentation, cataloguing failure modes where generative models produce plausible yet factually flawed recommendations. Our research shows that benchmark submissions requiring multi-tier document synthesis receive 42% higher acceptance rates during initial client calibration across 50 companies on Mercor and Scale AI. In practice, practitioners review model outputs against predefined scoring matrices with Python tools, verifying that factual citations align precisely with authoritative domain standards. Additionally, contractors who maintain 95% inter-annotator agreement qualify for specialist allocations paying $80 to $200 per hour.
Detailed Role Specifications & Project Scope
About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: Turing is partnering with a leading AI research lab to bring domain experts directly into frontier AI development. We are looking for PhD-level scientists in biology and the life sciences to work alongside the lab’s research teams, applying deep scientific expertise to advance and evaluate cutting-edge AI models. This is a chance to shape how the most advanced AI systems reason about science. Requirements: PhD in Biology or a Life Sciences field (e.g., molecular biology, genetics, biochemistry, cell biology, neuroscience, immunology, microbiology, bioinformatics/computational biology, or related). Hands-on research experience, ideally with peer-reviewed publications. Ability to create problems that are genuinely difficult, beyond textbook-level knowledge. Excellent written English and the ability to explain complex scientific reasoning clearly. Strong attention to detail and comfort working independently in a remote setting. Responsibilities: Design challenging, research-grade scientific problems and tasks that test the limits of frontier AI models and agents. Evaluate model and agent outputs for scientific accuracy, rigor, and reasoning quality, and give clear, structured feedback. Help build and refine benchmarks and datasets in your area of expertise. Identify where models fail on expert-level biology and explain why. Collaborate with researchers to translate scientific workflows into tasks AI systems can be trained and tested on. Adapt to evolving project scopes as research priorities shift. Nice to Have Experience with Python, R, or command-line tools for scientific computing or data analysis. Background in computational biology, bioinformatics pipelines, or lab-to-data workflows. Prior experience with AI training, evaluation, data annotation, or benchmark creation. Postdoctoral or industry R&D experience. Offer Details: Commitments Required: 40 hours per week with 8 hours of overlap with PST. Engagement type: Contractor Engagement Length: upto 5 weeks Evaluation Process
- Application and profile review AI interview (mandatory)