Open AI training and model evaluation roles that call for Data Annotation expertise, gathered from 9 platforms. Part of Data & Machine Learning.
Pay figures cover the 218 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves annotating and evaluating chemistry content for AI model training. A PhD chemist will label complex chemistry questions, map conceptual relationships, review AI-generated answers, and develop datasets across multiple chemistry subfields to improve frontier AI models.
This role involves designing, solving, and evaluating advanced chemistry problems to train AI models. Masters and PhD-level chemists will leverage their domain expertise to create rigorous scientific content that enhances AI reasoning capabilities across organic, inorganic, physical, or computational chemistry.
Chemistry experts with PhD-level qualifications design rigorous chemistry problems and evaluate AI model responses for scientific accuracy and reasoning quality. This remote contract role involves assessing how AI systems understand complex chemistry concepts across multiple domains and providing detailed feedback to improve model performance.
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.
Cinematography professionals and advanced film students analyze film clips to train AI systems to understand visual storytelling. You will break down camera work, shot composition, framing, and scene structure into detailed, structured annotations that help AI perceive and describe cinema.
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.
A Clinical Business Intelligence Manager will leverage healthcare analytics expertise to support AI training projects by evaluating AI-generated clinical content, leading BI teams, and maintaining analytics infrastructure. This remote contract role is designed for experienced healthcare data professionals who can apply domain knowledge to ensure AI outputs are accurate and aligned with clinical practice.
This role involves reviewing and annotating electronic health record data to ensure accuracy and consistency for clinical and research applications. The position is ideal for healthcare professionals with experience in clinical documentation, medical coding, or chart review who have strong attention to detail and can work independently on data quality assurance tasks.
Review and evaluate AI-generated Java code for correctness and efficiency, and write high-quality Java solutions to coding problems at varying difficulty levels. This role is ideal for Java developers who can also provide clear explanations of code logic and problem-solving strategies to support AI model training.
This role involves evaluating and writing SQL queries for AI model training projects. You will assess AI-generated SQL for accuracy and performance, write complex queries across relational databases, and document your reasoning to support AI development at leading research labs and enterprises.
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 designing realistic customer support task scenarios and evaluation rubrics for AI agent training. You will author ticket triage tasks, create scoring rubrics, set up task environments, and calibrate difficulty to ensure AI models learn to make sound support decisions similar to experienced professionals.
Design and author realistic customer support triage tasks that train and evaluate AI agents on real enterprise work, including ticket triage, account configuration checks, and escalation decisions. This role is for experienced support professionals who can create detailed task scenarios with clear scoring rubrics that reflect actual judgment calls made by support engineers.
This role involves categorizing, tagging, and annotating text, images, and audio data to train AI systems. Data Labeling Specialists work independently on a flexible remote contract, following structured guidelines to ensure consistent, high-quality dataset preparation for machine learning models.
This role involves managing and preparing datasets for AI model training by cleaning, organizing, and quality-checking data to ensure accuracy and consistency. The position suits detail-oriented individuals with strong organizational skills who want to contribute to AI development without requiring prior machine learning experience.
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 analyzing data security and Data Loss Prevention scenarios to help train AI models that understand real-world data risk. You will classify sensitive information, evaluate security strategies, and create labeled datasets for AI model development based on your hands-on security expertise.
This role involves reading, annotating, and classifying diverse documents to help train AI systems understand written text. Specialists work remotely and flexibly, applying structured annotation frameworks to structured and unstructured content across various industries and topics.
Review, categorize, and refine product data for AI-powered shopping and recommendation systems. This role involves evaluating product listings, AI-generated descriptions, and ensuring data quality to improve product discovery. Ideal for detail-oriented individuals comfortable with online platforms and structured data.
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FAQ
242 Data Annotation AI training jobs are open on SideHustler today. 3 were posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 218 open roles that publish an hourly rate in USD, pay runs from $6 to $400 per hour, with a median of $60. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (93), micro1 (82), Mercor (40), xAI (17), DataAnnotation (3), Mindrift (2), Terac (2), Vetto (2) and Handshake AI (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Data Annotation, AI Evaluation, Content Annotation, Multilingual Expertise, Audio Transcription. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
