Anyone AI

Backend Engineer

• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing
• Write clear natural-language specifications and reference implementations
• Develop and extend unit and integration test suites
• Review peer-generated tasks for correctness, clarity, and realism
• Identify edge cases, ambiguities, and potential failure modes
• Ensure alignment between specifications, code, and expected outputs

Python Developer

Operations

• Support cross-functional teams (admissions, career, placement, billing) with data and automation needs.
• Design and maintain automation workflows with Zapier, Typeform, Hubspot, AppScripts, Notion/Airtable, and external APIs.
• Build and maintain BI dashboards (Looker Studio, Google Sheets).
• Use lightweight database solutions (e.g., Supabase) to structure and sync data across internal processes.

Data & Operations Specialist

Research Scientist

• Evaluation research. Turn public benchmarks and eval targets into original evaluation designs. Own the hard questions: construct validity, discrimination, headroom, and contamination.
• Benchmark development. Build evaluation packages with subject-matter experts, each with expert-verified ground truth, multi-model headroom results, and rigorous QC (calibration layers, severity-weighted rubrics, deterministic verifiers).
• Experts. Recruit, calibrate, and review a pool across coding, agentic/tool-use, and STEM/reasoning. Be the final arbiter of correctness and frontier difficulty.
• Lab relationships. Be a technical point of contact for labs, with CEO support. Understand what they're trying to measure and translate it into an evaluation design.
• Delivery. Turn lab requests into winning sample packages, then own pilots end to end. Nothing ships before it's lab-ready.

Research Scientist – Remote, US, LATAM

Full-stack Engineer

Full-Stack Developer

• Contributors will design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing
• Write clear natural-language specifications and reference implementations
• Develop and extend unit and integration test suites
• Review peer-generated tasks for correctness, clarity, and realism
• Identify edge cases, ambiguities, and potential failure modes
• Ensure alignment between specifications, code, and expected outputs

Software Engineering AI Trainer, Mexico

Software Engineering AI Trainer – Chile

Software Engineering AI Trainer

Data Scientist

• Take scoped engagements through staffing, production, QC, and delivery. Own timeline, throughput, and the delivered package across several concurrent projects at once.
• Staff each project from the expert pool, brief and calibrate contributors, manage their output and utilization, and keep production moving without quality drift.
• Run the QC structure on every deliverable — calibration layers, severity-weighted rubrics, deterministic verifiers, evidence maps — so each package survives buyer-side scrutiny before it ships.
• Track output-per-contributor-week, flag bottlenecks early, and protect margin by managing expert hours against scope.
• Keep the Strategic Project Lead and the Human Data Evals Lead informed on status, risk, and what shipped; surface anything that needs escalation before it becomes a delivery miss.

Human Data Manager

Artificial Intelligence

• Prepare and deliver online lectures and assignments on ML/AI.
• Deliver live lectures or assignments at the specified times.
• Perform code reviews with students and solve problems from the previous day.
• Evaluate and grade students every 2 weeks with assignments.

AI/ML Instructor

Financial Planning and Analysis

• Assessing the factual accuracy of AI-generated text
• Reviewing whether AI responses are relevant to Quantitative Finance prompts
• Identifying errors, gaps, or weak reasoning in model outputs
• Crafting high-quality questions related to Quantitative Finance
• Answering technical Quantitative Finance questions
• Evaluating and ranking multiple AI-generated responses
• Providing feedback that helps AI models improve over time
• Ensuring that domain-specific concepts are explained clearly and correctly

Python Developer

Data & Operations Specialist

Research Scientist – Remote, US, LATAM

Full-Stack Developer

Full-Stack Developer

Full-Stack Developer

Full-Stack Developer

Full-Stack Developer

Software Engineering AI Trainer, Mexico

Software Engineering AI Trainer – Chile

Software Engineering AI Trainer

Software Engineering AI Trainer

Human Data Manager

AI/ML Instructor

Quant Finance Expert