Model Evaluator – DevOps
Review and evaluate AI-generated code solutions for software engineering tasks.
Turing is best known for placing remote software engineers, and it also staffs AI training projects for frontier labs, hiring engineers, data specialists and subject-matter experts to write and evaluate model training data. 101 Turing roles are open right now, with the most openings in Software & Data, Business & Finance and Language & Writing, and most of the hourly ones pay about $15–$150 an hour. One AI Trainer is independent and not affiliated with Turing; every Apply link goes to Turing's own application page.
Review and evaluate AI-generated code solutions for software engineering tasks.
Design complex scientific tasks for AI agents in life sciences.
Test a healthcare product and provide clinical feedback for improvement.
Review AI responses for relevance and accuracy in personal contexts.
Evaluate a healthcare tech product and provide clinical feedback.
Evaluate a healthcare product's usability and provide clinical feedback.
Test a healthcare product and provide feedback based on clinical experience.
Test a healthcare technology product and provide clinical feedback.
Participate in group conversations and provide natural voice recordings.
Review and refine enterprise presentations to ensure clarity and quality.
Design challenging biology problems to evaluate advanced AI models.
Create RTL design tasks and benchmarks for AI hardware evaluation.
Create rigorous life sciences problems based on real research scenarios.
Design complex scientific tasks for AI agents in life sciences.
Lead clinical reviews on complex dermatology cases for AI evaluation.
Participate in group recordings by contributing natural conversations in French.
Evaluate audio and video clips to find the best match.
Guide quality assurance teams to enhance AI annotation accuracy.
Design and verify PCBs using KiCad for diverse electronic applications.
Evaluate AI models using your retail banking expertise.
Evaluate AI models in consumer lending for accuracy and performance.
Evaluate AI models using your mortgage lending expertise.
Evaluate AI models using your corporate banking expertise.
Evaluate AI models using your expertise in commercial banking.
Review AI conversations to assess context and improve recommendations.
Analyze GitHub issues and assess LLM performance in real code.
Evaluate AI-generated protein designs for structural quality and biological relevance.
Architect and optimize cloud infrastructure and CI/CD systems for AI workloads.
Evaluate AI responses using personalized prompts across Google apps.
Identify and label shot boundaries and transitions in video clips.
Participate in group recordings of unscripted Russian conversations.
Create and evaluate professional marketing content for diverse audiences.
Participate in group recordings of unscripted German conversations.
Participate in group recordings of natural Italian conversations for AI training.
Analyze GitHub issues and evaluate test coverage for Java projects.
Analyze and triage GitHub issues for open-source libraries in Rust.
Engage in unscripted group conversations as a Japanese voice actor.
Review and improve AI responses using your Gemini education experience.
Participate in group discussions in Korean for audio recording projects.
Design and evaluate strategic policy frameworks and benchmarks for impact.
Design and evaluate financial models and benchmarks for accuracy.
Design and evaluate retail scenarios and benchmark solutions for merchandising.
Create and evaluate specialized tasks for media and content production.
Design and build AI systems for advanced mathematical reasoning workflows.
Design complex scientific tasks for AI agents in life sciences.
Design and evaluate B2B sales scenarios and calibration tasks.
Evaluate AI responses for safety and compliance with policies.
Analyze and improve large language models through detailed content evaluation.
Review and validate physics tasks for accuracy and reproducibility.
Review and ensure chemical accuracy in scientific task designs for training.
Lead a team to develop accurate materials science tasks for AI training.
Review and validate mathematical tasks for scientific accuracy and rigor.
Evaluate AI responses for safety and policy compliance.
Review and annotate content to enhance large language model performance.
Evaluate AI-generated audio by identifying instruments in clips.
Edit and create 2D and 3D images based on project guidelines.
Review AI-generated responses for accuracy and personalization using mobile data.
Create advanced life sciences problems that require deep scientific reasoning.
Research and build benchmark tasks to expose AI model weaknesses.
Create high-quality stylized 3D models and digital assets.
Lead a team to create and validate engineering tasks for AI training.
Convert engineering challenges into structured test scenarios for AI training.
Review and improve AI-generated code in your language of expertise.
Develop power electronics hardware designs for automotive applications.
Design and develop analog and RF circuits for diverse hardware applications.
Lead large-scale AI annotation projects while managing clients and teams.
Evaluate AI responses for accuracy and improve model performance.
Analyze chatbot responses and evaluate them against business requirements.
Review video annotations for quality and accuracy in data projects.
Lead clinical reviews on complex dermatology cases for AI model evaluation.
Translate CUDA/C++ code into Python using PyTorch and NumPy.
Evaluate AI models for finance performance and provide expert insights.
Lead the design and implementation of enterprise MDM solutions with Semarchy xDM.
Review complex life science problems and evaluate AI-generated scientific outputs.
Review AI responses to improve business decision-making strategies.
Review AI outputs on financial scenarios for accuracy and clarity.
Review AI responses to U.S. legal hypotheticals for accuracy and reasoning.
Review complex engineering problems and evaluate AI-generated technical outputs.
Design advanced life sciences problems based on realistic research scenarios.
Operate and manage software engineering data programs for AI models.
Create computational workflows for Earth science tasks using diverse datasets.
Evaluate AI-generated dermatology content for accuracy and safety.
Evaluate and improve AI coding models by reviewing generated code.
Review AI-generated dermatology content for accuracy and safety.
Create and edit high-quality 2D and 3D visual assets with precision.
Create high-quality digital character illustrations from reference images.
Research and evaluate AI-generated responses to enhance model accuracy.
Evaluate AI-generated audio by identifying instruments in audio clips.
Build and optimize CI/CD pipelines for AI applications on Azure.
Evaluate and improve AI-generated code for accuracy and quality.
Evaluate AI chatbot responses for small business scenarios and provide feedback.
Engage in natural group conversations as a Spanish voice actor.
Evaluate AI models to enhance finance performance and accuracy.
Create and manage data-validation workflows in Docker-based build pipelines.
Design and refine prompts for AI interactions across various tools.
Evaluate AI chatbot responses for small business scenarios in Japanese.
Evaluate AI chatbot responses for small business scenarios in Korean.
Analyze ML datasets to evaluate and improve system performance.
Build and validate data pipelines for AI performance evaluation projects.
Own end-to-end development of machine learning solutions for business needs.
Analyze data and write Python code to enhance AI model performance.