Jobs at Anyone AI

Design realistic marketing tasks and reference solutions for AI evaluation, covering campaign analysis, market research, strategy, performance reporting, and marketing assets. Develop evaluation criteria, review AI-generated work for accuracy and execution quality, and collaborate with reviewers to improve task consistency. The role requires practical experience in areas such as growth, performance, product, content, research, or marketing analytics, along with strong analytical and written communication skills.

Create digital visual assets across social media, websites, video, marketing campaigns, presentations, ads, and email. Design responsive UI components and layouts in Figma and Framer, adapt short-form video content in Canva, maintain brand consistency, and collaborate with marketing, product, development, and content teams. Prepare final assets for digital distribution while managing multiple projects and deadlines.

Own the AI fellowship curriculum, learning design, content quality, and alignment with industry needs. Lead syllabus development, review learning materials and outcomes, source and evaluate instructors, and calibrate teaching standards. Serve as the internal authority on high-quality AI education while partnering with operations to support effective program delivery.

Evaluates and compares AI-generated responses across diverse prompts, assessing accuracy, helpfulness, clarity, instruction-following, and overall quality. The role requires applying detailed rubrics consistently, interacting with multiple AI models and tools, and writing clear explanations supporting evaluation decisions. It is a remote, part-time independent contractor position lasting up to three months.

Evaluate and compare AI-generated responses across diverse prompts, assessing accuracy, helpfulness, instruction-following, clarity, and overall quality. Follow detailed evaluation guidelines, apply criteria consistently, and write clear explanations supporting rating decisions. The role requires English fluency, strong writing and analytical judgment, attention to detail, experience using LLMs, and comfort with multi-step workflows. Prior AI evaluation, data annotation, quality assurance, editing, research, fact-checking, or analytical writing experience is preferred.

Evaluate and compare AI-generated responses across varied prompts. Assess accuracy, helpfulness, instruction-following, clarity, and overall quality using detailed guidelines. Write clear explanations supporting evaluation decisions, apply criteria consistently, and navigate multiple AI models, tools, and workflows. The role requires fluent English, strong writing and analytical judgment, careful attention to detail, and extensive hands-on experience using LLMs. Prior AI evaluation, data annotation, quality assurance, editing, research, or fact-checking experience is preferred.

Evaluate and compare AI-generated responses across diverse prompts. Assess accuracy, helpfulness, instruction-following, clarity, and overall quality using detailed guidelines. Provide clear written explanations for evaluation decisions and consistently follow multi-step workflows. The role requires English fluency, strong writing and analytical skills, extensive hands-on LLM experience, attention to detail, and comfort working with multiple AI models and tools.

Evaluate and compare responses from AI models across varied prompts. Assess accuracy, helpfulness, instruction-following, clarity, and overall quality using detailed guidelines. Write clear explanations supporting evaluation decisions, apply criteria consistently, and manage multi-step workflows across AI models and tools. The role is remote, part-time, contractor-based, and available for up to three months.

Evaluate and compare AI-generated responses across diverse prompts. Assess accuracy, helpfulness, instruction-following, clarity, and overall quality using detailed rubrics and workflows. Write clear explanations supporting evaluation decisions and apply criteria consistently. The role requires English fluency, strong writing and analytical judgment, attention to detail, extensive hands-on LLM experience, and comfort working across AI models and tools.

Evaluate and compare AI-generated responses across diverse prompts. Assess accuracy, helpfulness, instruction-following, clarity, and overall quality using detailed guidelines. Provide clear written justifications, apply evaluation criteria consistently, and work across multiple AI models, tools, and multi-step workflows. The role requires fluent English, strong writing and analytical judgment, attention to detail, and extensive hands-on LLM experience. Prior AI evaluation, data annotation, quality assurance, editing, research, fact-checking, or rubric experience is preferred.

Evaluate and compare responses from AI models across varied prompts. Assess accuracy, helpfulness, instruction-following, clarity, and overall quality using detailed rubrics and multi-step workflows. Write clear explanations supporting evaluation decisions and apply criteria consistently. The role requires English fluency, strong writing and analytical judgment, attention to detail, complex-instruction comprehension, and extensive hands-on LLM experience.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Design and validate electrical engineering tasks for AI training and evaluation. Create schematics, PCB layouts, circuit designs, calculations, simulations, technical documentation, and reproducible reference solutions. Review AI-generated engineering work for accuracy, identify design faults and inconsistencies, and establish objective evaluation criteria. The role requires practical expertise in circuit theory, electronics development, PCB design, simulation tools, and electrical systems, along with strong technical communication skills.

Design and validate realistic mechanical engineering tasks for AI training and evaluation. Create and review CAD models, assemblies, technical drawings, specifications, calculations, and simulation outputs. Assess mechanical designs, materials, tolerances, manufacturing constraints, and engineering feasibility. Develop traceable reference solutions, identify errors and failure risks, review AI-generated technical work, and establish objective evaluation criteria.

Design and validate realistic financial analysis and accounting tasks for AI training and evaluation. Build financial models, forecasts, budgets, cash flow projections, reconciliations, journal entry analyses, and variance reports. Analyze financial statements, identify discrepancies and errors, create transparent reference solutions, and review AI-generated financial outputs for accuracy and consistency. Collaborate with technical contributors to establish reproducible tasks and objective evaluation criteria.

Design and validate realistic legal research, contract analysis, litigation support, and regulatory review tasks for AI evaluation. Analyze legal documents, statutes, regulations, case law, and contractual provisions; identify risks and inconsistencies; prepare research summaries and reference solutions; assess citations and AI-generated legal analyses; and establish objective evaluation criteria while protecting confidentiality and privilege.

Design and validate realistic 3D modeling, animation, rendering, and visual effects tasks for AI training and evaluation. Create and modify models, materials, textures, lighting, rigs, animations, and scenes; validate technical specifications and project files; review AI-generated assets for visual and technical accuracy; define objective evaluation criteria; and document reproducible creative workflows.

Review CVE reproductions, exploit proof-of-concepts, vulnerability remediation, Docker-based labs, and security verification tests. Assess whether environments accurately reproduce attack conditions, fixes address root causes, and normal functionality remains intact. Identify incomplete fixes, regressions, alternative attack paths, and configuration issues while evaluating vulnerabilities using CVSS and CWE frameworks. Provide technically rigorous recommendations and written feedback.

Developers will complete flexible, project-based software engineering work for an AI lab. Responsibilities include debugging complex codebases, building backend or full-stack features, refactoring and migrating systems, expanding unit and integration tests, writing technical specifications, reviewing code, identifying edge cases, and validating requirements and outputs. The engagement is remote, part-time, independent, and compensated per project with estimated hourly rates.

Develop and review production-quality Python software across backend and full-stack projects. Responsibilities include debugging complex codebases, feature development, refactoring, migrations, testing, technical specification writing, code reviews, and validating requirements against implementation and test results. This is flexible, remote, part-time, project-based consulting for contributors managing their own schedules.