1234 open jobs
Open roles in AI training, model evaluation, RLHF and data labeling for domain experts. Search, filter, then apply directly on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac.
This role involves designing, solving, and evaluating complex chemistry problems to train AI models in scientific reasoning. Chemistry researchers with advanced degrees will apply their domain expertise to create rigorous problem sets and evaluate how AI systems understand chemistry concepts, working remotely on a flexible schedule.
This role involves designing, solving, and evaluating complex chemistry problems to train AI models. Chemistry experts with advanced degrees will apply their scientific knowledge to create rigorous problem sets and provide feedback on AI-generated scientific outputs, working remotely on a flexible schedule.
This role involves developing environmental science problems and evaluating AI model outputs for accuracy in climate, ecology, and sustainability domains. Climate Data Specialists with advanced environmental science degrees will design complex scientific scenarios and assess AI-generated content for scientific rigor and clarity in support of AI model training.
This role involves evaluating and reviewing code generated by AI systems across multiple programming languages, identifying bugs, logical errors, and inefficiencies. The position is designed for individuals with coding knowledge who can assess code quality and provide constructive feedback to improve AI-generated outputs, regardless of formal background.
This role involves evaluating and improving AI models that process visual data, including images and video. Computer vision and machine learning experts will assess model outputs, identify failure modes, create training annotations, and provide technical feedback to guide the development of AI systems used at scale.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities and attack vectors. You will probe for weaknesses including prompt injection, model manipulation, and data poisoning, then document findings with remediation guidance for a fully remote contract position.
A senior Python engineer will design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for AI model training at scale. This fully remote contract role requires building full-stack infrastructure that processes large datasets and supports research workflows across distributed teams.
This role involves designing advanced data science challenges, writing benchmark solutions, and auditing AI-generated code to improve AI reasoning and reliability. It is designed for experienced data scientists who want flexible, intellectually demanding work training and evaluating machine learning systems.
This role involves designing complex data science challenges and authoring ground-truth solutions to train and evaluate advanced AI models. Data scientists will audit AI-generated code, identify logical reasoning failures, and provide structured feedback to improve model performance across machine learning, statistical inference, and data engineering domains.
This is a backend engineering role focused on building and optimizing server-side infrastructure for AI systems. The position involves designing scalable APIs, data pipelines, and microservices that power machine learning and AI products, working remotely on a flexible hourly contract basis.
This is a contract role for back end developers to design, build, and optimize server-side systems and APIs that power AI infrastructure, including data pipelines and model-serving infrastructure. The position is fully remote and flexible, targeting engineers in Brazil who want to work on scalable, high-performance systems supporting AI training and inference workloads.
This role involves reviewing and validating econometric questions, models, and explanations used in AI training datasets. Instructors with expertise in econometrics and quantitative economics will assess statistical accuracy, identify errors in AI-generated economic reasoning, and provide structured feedback to improve model outputs. The work is remote and asynchronous, suited for experienced econometrics educators.
This role involves writing, debugging, and evaluating AI-generated code to help train and improve AI coding assistants. Software engineers will review code quality, identify bugs and security issues, provide detailed feedback, and design test scenarios to stress-test AI capabilities across various programming languages and frameworks.
This role involves designing, building, and scaling infrastructure systems that power AI products and services. Senior software engineers will work on production-grade systems supporting AI training, evaluation, and deployment pipelines, writing clean and performant code while collaborating with ML engineers and researchers in a remote, autonomous environment.
This remote position involves developing and reviewing advanced environmental science problems to support AI model training. Environmental science experts with advanced degrees will apply their knowledge in climate modeling, ecology, or sustainability to create complex problem statements and enhance AI model reasoning through collaboration with research teams.
This role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect how professional analysts work. You will audit task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix errors and improve clarity, applying deep expertise in financial analysis, Python, and version control.
This role involves auditing and refining AI-generated financial modeling tasks to ensure they accurately reflect professional analyst workflows. The ideal candidate combines deep financial expertise with Python and GitHub proficiency to review AI outputs, validate instructions, and edit code and documentation to meet professional standards.
This role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect professional analyst work. Finance subject matter experts with Python skills will audit AI instructions, validate scoring rubrics, and edit code and documentation via GitHub to fix errors and improve quality.
This role involves reviewing and improving AI-generated financial modeling tasks to ensure they accurately reflect professional analyst workflows. Finance experts with Python skills will audit AI task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix errors and meet professional standards.
This role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect how professional analysts work. Finance experts with Python skills will audit task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix logic errors and improve clarity.
FAQ
AI training, model evaluation, RLHF, red teaming, data labeling and expert review roles, in fields from software and data science to medicine, law, finance, languages and science.
They are done online. Some are limited to residents of certain countries: when the platform publishes that restriction, the listing shows it.
Usually not. Most roles ask for professional experience in your own field. Each listing states the experience the platform requires.
By the hour or by the task, by the platform that hires you. We show the pay only when the platform publishes it. It is not a guarantee of income or hours.
Apply now opens the official posting on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac, where you complete the application. You need no account here. See how it works.
