Role Description & Scope
Executive Role Brief & Verified Partner Routing
Join a high-impact reinforcement learning and benchmark evaluation program designed for experienced practitioners. Verified remuneration is structured at $50–$95/hr, rewarding high-precision rubric adherence and analytical depth. Specialists selected for Corporate Banking Expert execute structured RLHF & LLM Rubric Evaluation audits, ensuring model outputs meet production-grade domain standards. The workflow is 100% remote and asynchronous, enabling you to allocate 10 to 40 flexible hours per week from anywhere. Rolling intake is currently live—complete your brief technical screening via the verified apply route to lock in your batch allocation.
- Primary Competency: RLHF & LLM Rubric Evaluation
- Credential Tier: Master's
- Candidate Profile: Ideal for Master's analytical evaluators experienced in structured rubric scoring, prompt stress-testing, and hallucination auditing.
- Verified Compensation: $50 - $95 / hr
Direct Partner Application: Route your application via /go/turing-116970 for priority partner queue placement.
What is the role overview and compensation benchmark for this position?
This Corporate Banking Expert position is a verified remote AI evaluation and domain training contract within the Machine Learning & AI 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 machine learning & ai evaluators averages $115/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 Corporate Banking 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 LLM. 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
Role Overview Turing is looking for Corporate Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in corporate credit, syndicated lending, capital structure advisory, and global transaction services to evaluate and train AI systems. If you enjoy solving complex problems in corporate banking and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on corporate banking topics such as syndicated and bilateral loans, leveraged finance, credit agreement analysis, and cash management and trade finance solutions. Create rubrics to assess model capabilities on tasks like leverage and coverage ratio analysis, debt capacity sizing, revolving credit facility structuring, financial covenant compliance testing, and credit rating assessment. Collaborate with AI researchers and fellow banking experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Corporate Banking (e.g., corporate coverage, credit risk, loan syndications, leveraged finance, or transaction banking at a large commercial or investment bank). Strong grasp of corporate credit analysis, capital structure, loan syndication processes, and client relationship coverage for large and multinational corporations. Excellent English written communication. Bonuses (Not at All Necessary) CFA (Level I/II/III), FRM, CA/CPA, or MBA in Finance. Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details Commitment: Flexible, 10–30 hrs/week. Duration: ~1 month, with the possibility of extension based on performance and project needs.