Role Description & Scope
Executive Role Brief & Verified Partner Routing
An active model-alignment batch is currently seeking domain-vetted remote contributors for this role. Practitioners command $50–$95/hr with transparent time-and-task tracking and rapid weekly escrow payouts. Core deliverables for the Software Engineer - Code role center on Python & Backend Engineering, multi-step reasoning verification, and factual edge-case auditing. Work entirely on your own schedule with 24/7 cloud benchmark access and flexible weekly hour commitments. Because cohort seats fill on a rolling basis, submit your profile early via our verified partner routing link to secure priority review.
- 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-117575 for priority partner queue placement.
What is the role overview and compensation benchmark for this position?
This Software Engineer - Code position is a verified remote AI evaluation and domain training contract within the Software Engineering 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 software engineering evaluators averages $80/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 Software Engineer - Code 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
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 Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench. Unlike coding-focused benchmarks, this role emphasizes deep biological knowledge, scientific interpretation, and rigorous reasoning. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems. This is a non-code benchmark: tasks are not executed, and no programming is required. Who this is for. Life scientists who want to author rigorous scientific-reasoning problems with objectively defensible answers — no coding involved. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit. Who this isn't for. If you want to build tasks where agents write and execute code, see GeneBench Pro (genomics), Agentic Life Sciences (broad life-sciences workflows), or Terminal Bench Science (cross-STEM terminal tasks). Responsibilities Design novel, graduate-level life sciences problems grounded in realistic research contexts. Develop clear questions and rigorous reference answers with defensible scientific reasoning. Interpret experiments, datasets, figures, sequences, structures, and other biological evidence. Validate biological claims, calculations, assumptions, and conclusions. Identify ambiguity, alternative interpretations, and insufficiently constrained questions. Ensure tasks are self-contained, reproducible where applicable, and clearly documented. Incorporate reviewer feedback while maintaining quality and throughput. Required Qualifications Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences. Strong expertise in at least one biological discipline. Demonstrated ability to interpret scientific experiments, data, and research findings. Strong scientific writing skills and attention to precision. Relevant backgrounds include molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, evolutionary biology, ecology, structural biology, biophysics, developmental biology, cancer biology, pharmacology, and related life sciences disciplines. Preferred Qualifications Experience designing graduate-level problems, assessments, or research exercises. Experience reviewing scientific manuscripts or research. Ability to translate complex scientific concepts into precise, self-contained questions. Experience evaluating AI-generated scientific responses or working with AI/ML evaluation datasets. Peer-reviewed publications or graduate-level teaching and mentoring experience. Important Note This role does not involve programming or executing code. For coding-based or workflow-oriented opportunities, please explore GeneBench Pro, Agentic Life Sciences, or Terminal Bench Science. Offer Details: Commitments Required: at least 8 hours per day and minimum 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month Benefits Opportunity to work on cutting-edge AI projects. Competitive compensation. Flexible working hours and remote work environment. Evaluation Process Job interest form Assessment Based on the answers and scores, you will be contacted to discuss the pre-onboarding requirements