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 creating high-quality financial datasets for AI training by reviewing accounting documents, extracting data into Excel templates, and validating accuracy. Accounting professionals will ensure financial datasets meet quality standards for AI model training in financial reasoning tasks.
Review and evaluate AI-generated outputs across text, images, and structured data to assess quality, accuracy, and consistency. This remote contract role is ideal for detail-oriented individuals who can identify errors and provide actionable feedback to guide AI model improvement, with no prior AI experience required.
This role involves completing structured evaluation and labeling tasks to train and improve AI systems. You will assess AI-generated content across multiple formats and provide feedback to help make AI systems more accurate and reliable, working remotely on a flexible schedule.
AI Training Specialists label, classify, rate, and evaluate AI-generated content across multiple formats to improve AI system accuracy and reliability. This remote, flexible contract role suits detail-oriented individuals committed to quality work on structured AI training tasks.
Lead a team of Spanish-speaking business analysts creating high-quality training content for AI models across finance, strategy, and economics domains. This remote role combines people management, domain expertise, and content development for an AI training platform, requiring business analysis experience and team leadership skills.
This role involves analyzing real-world application security scenarios and creating training datasets to teach AI models how to assess software vulnerabilities. You will evaluate code, APIs, and system behavior to distinguish genuinely exploitable risks from theoretical findings, providing structured analysis that helps frontier AI systems learn to reason about application security with the nuance of experienced engineers.
Transcribe and evaluate aviation air traffic control communications audio recordings, identifying and correcting transcription errors while providing feedback on audio quality. This role is ideal for aviation professionals or transcription specialists with expertise in ATC communications and attention to detail.
This role involves evaluating audio recordings for quality, clarity, and accuracy to support AI training. Reviewers will assess recordings for technical issues like noise and distortion, verify transcription accuracy, and provide detailed feedback using evaluation tools, working independently on a flexible schedule.
Audio Transcription Specialists convert real audio recordings into accurate written text to power speech recognition and language models. This fully remote, flexible contract role is open to anyone with strong listening skills and attention to detail, with no professional transcription background required.
A fully remote contract role where PhD-level biochemists create expert-level problems, author gold-standard solutions, and audit AI-generated biochemical reasoning to train and improve scientific AI models. Ideal for biochemists passionate about scientific rigor who want to shape the accuracy of next-generation AI without requiring prior AI experience.
This is a contract position for biologists with PhDs to annotate and evaluate training data for AI models. The role involves labeling biology questions and concepts, mapping relationships between biological principles, reviewing AI-generated answers, and designing training datasets across biology subfields.
This role involves designing and evaluating advanced biology problems to help train AI models to reason rigorously about scientific topics like genetics, biotechnology, and bioinformatics. Masters and PhD holders in biology will apply their domain expertise to assess AI-generated reasoning for scientific accuracy and clarity in a fully remote, flexible contract position.
This role involves creating and evaluating biology problems to test and improve AI models' scientific reasoning capabilities. Biology masters-level experts will design rigorous test cases, assess AI outputs for accuracy, and provide feedback to enhance model performance across various biology domains.
This role offers biologists with advanced degrees the opportunity to contribute to AI model training by developing rigorous biology problems, evaluating AI-generated scientific content, and ensuring scientific accuracy in AI reasoning. Remote and flexible, it leverages deep domain expertise to shape how AI systems approach complex problems in genetics, biotechnology, and bioinformatics.
This role involves collaborating with an AI training platform to develop and evaluate biology problems, stress-test AI reasoning on genetics and biotechnology topics, and ensure scientific accuracy in AI-generated biological explanations. It is designed for advanced researchers and scientists with deep domain expertise who want flexible, intellectually challenging work without requiring prior AI experience.
This role involves creating and evaluating biology content to train and benchmark AI models. Biology experts with advanced knowledge will design questions, develop solutions, assess AI-generated responses, and provide feedback to improve model performance across undergraduate to graduate-level topics.
This role involves leading data governance initiatives for biotech and clinical trial data to ensure compliance, accuracy, and readiness for AI model training. The position requires bridging scientific, technical, and regulatory teams to establish policies that protect sensitive data while enabling innovation in life sciences and regulatory submissions.
Lead a team of business analysts creating high-quality content to train AI models on business strategy, finance, and operations. This role combines team management, quality assurance, and analytical expertise to develop materials that teach AI systems professional reasoning across multiple business domains.
This role involves leading and mentoring teams of business analysts who create high-quality training content for AI models, with a focus on business, finance, strategy, and operations domains. The position requires strong team management and business analysis expertise to oversee content quality, provide performance feedback, and serve as the stakeholder point of contact for remote contract work.
A senior C# engineer will design and build high-performance data pipelines, annotation tooling, and evaluation systems for AI model training. The role involves full-stack backend development, system optimization, and collaboration with data and research teams to support production infrastructure for AI labs.
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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.
