Role Description & Scope
Executive Role Brief & Verified Partner Routing
Shape the reasoning reliability of frontier language models through this verified independent contractor engagement. Verified remuneration is structured at $90–$140/hr, rewarding high-precision rubric adherence and analytical depth. As a Biology & Life Sciences Domain Expert, your primary focus involves STEM & Mathematical Reasoning, synthesizing gold-standard responses, and flagging subtle model hallucinations. Work entirely on your own schedule with 24/7 cloud benchmark access and flexible weekly hour commitments. Client calibration batches are actively reviewing applicants—use the verified partner portal link to fast-track your credential screening.
- Primary Competency: STEM & Mathematical Reasoning
- Credential Tier: PhD
- Candidate Profile: Ideal for PhD quantitative researchers, mathematicians, and scientists capable of verifying multi-step symbolic and empirical proofs.
- Verified Compensation: $90 - $140 / hr
Direct Partner Application: Route your application via /go/mercor-list_AAABoYr3vuO4cXwvq0FKEZxq for priority partner queue placement.
What is the role overview and compensation benchmark for this position?
This Biology & Life Sciences Domain Expert position is a verified remote AI evaluation and domain training contract within the Mathematics & STEM discipline, offering direct contractor compensation of $90 to $140 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 Biology & Life Sciences Domain 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 analytical evaluation and rubric design. 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
Help define how frontier AI models reason about biology and the life sciences.
## 1\. Overview
We are looking for senior biologists and life scientists to improve how frontier AI models reason about real life sciences research.
Your scientific judgment is the substance of this role. You will review the quality of life sciences reasoning tasks and model outputs, write the problem specifications and reference solutions that define what "correct" looks like, and design benchmarks that show whether a model is genuinely improving. We are looking for a practicing specialist rather than a generalist.
This role is fully remote.
## 2\. Key Responsibilities
- Expert review: Assess life sciences tasks and model outputs, catching mechanistic hand-waving, unsupported causal claims, flawed experimental design, and answers that read well but would not survive peer review.
- Problem specs and reference solutions: Write precise problem statements and rigorous reference solutions that reflect how life sciences research is actually done.
- Benchmarks: Design challenging, research-level problems and evaluation sets in your area of specialization.
- Calibration: Work with other researchers and experts in adjacent fields to turn tacit expert judgment into explicit, teachable criteria.
## 3\. Core Qualifications
- Education: PhD in biochemistry, molecular or cell biology, genetics, immunology, neuroscience, or a closely related life science.
- Seniority: A faculty appointment, principal investigator, staff or senior scientist, or an equivalent senior research role at a university, academic medical center, national laboratory, or research organization.
- Domain depth: Genuine specialization in at least one area, for example molecular and cell biology, biochemistry and structural biology, immunology, genetics and genomics, neuroscience, or ecology and evolution.
- Research record: A strong peer-reviewed publication record. Recognition such as competitive fellowships or awards is a plus.
- AI fluency: Hands-on use of large language models in your work, and the judgment to tell a sound argument from a plausible-sounding wrong one.
- Communication: Excellent written communication and the ability to give precise, well-structured feedback.
- Location: Based in the United States.