AITraining.jobs

AITraining.jobs lists the open AI training jobs from the platforms that pay people to train, evaluate and label data for AI (Mercor, micro1, Outlier, DataAnnotation, Braintrust, Alignerr, Prolific and about 50 more). It pulls openings daily from 25 platforms’ own job feeds (about 3,400 open roles in October 2026), shows the hourly pay each role advertises, and covers RLHF and evaluation, coding, math, law, medicine and finance expert work, voice and audio, data annotation and multilingual roles. Free, no signup needed.

AITraining.jobs is an online directory and job-discovery platform focused on paid AI training work. It helps people find opportunities to contribute to the development and evaluation of artificial intelligence systems by bringing job listings, platform information and pay benchmarks together in one place. Instead of searching through individual company websites, job boards and online communities, users can explore opportunities across multiple AI training platforms through a central directory.

The platform covers a broad range of work involved in developing and improving AI systems. These opportunities include data annotation and labelling, AI response evaluation, reinforcement learning from human feedback (RLHF), coding and software evaluation, writing, language-related tasks, transcription, audio data collection, mathematics, scientific reasoning and specialist professional work. Depending on the role, contributors may be asked to assess model responses, compare alternative answers, label data, review code, provide subject-matter expertise or help evaluate how well an AI system performs a particular task.

One of AITraining.jobs’ main features is its directory of AI training platforms. It tracks companies and services that offer paid work to contributors, including general task-based opportunities and specialist assignments for people with professional or technical expertise. Each platform profile is intended to help users understand the kind of work available, the expected qualifications, the advertised pay and other relevant details before deciding where to apply. This makes the platform useful for beginners exploring AI-related work as well as experienced professionals seeking projects that match their skills.

Another important feature is pay comparison. Compensation for AI training work can vary considerably depending on the task, the worker’s location, the platform, the required qualifications and the complexity of the assignment. AITraining.jobs compiles advertised rates and other publicly available pay information so users can compare opportunities before investing time in an application or assessment. Pay figures are labelled according to their source, such as live job feeds, platform-published information, third-party reports or estimates. This distinction helps users understand whether a figure is directly advertised or based on a less definitive source.

The platform also provides job-search and filtering capabilities. Users can explore opportunities by work category, country, platform, location eligibility and other role requirements. This is particularly important because a remote position is not necessarily open to applicants worldwide. Some employers accept contributors internationally, while others restrict recruitment to particular countries, languages or professional backgrounds. By displaying eligibility information alongside job details, AITraining.jobs helps users narrow their search to opportunities that may be more suitable for them.

AITraining.jobs is intended to help users compare more than just headline hourly rates. Platform requirements, the availability of work, qualification assessments, payment arrangements and worker experiences can all influence whether an opportunity is worthwhile. The directory aims to give prospective contributors a broader picture of the platforms they are considering, helping them assess which opportunities may suit their experience, preferred type of work and income expectations. Actual earnings and task availability are determined by the individual hiring platform and are not guaranteed by AITraining.jobs.

The website also offers matching functionality designed to help users identify relevant opportunities based on their skills and desired rate. By providing information about their background or professional profile, users can discover roles that may align with their experience. This can be useful for writers, software developers, translators, researchers, mathematicians and professionals in fields such as medicine, law and finance who want to explore AI training assignments related to their expertise. People without specialised credentials may also find general annotation, evaluation and research opportunities, subject to each platform’s requirements.

In addition to serving job seekers, AITraining.jobs offers services for companies that recruit AI trainers and other contributors. Employers can use the platform to promote relevant roles and reach people who are already looking for AI training opportunities. Its employer offering includes a free tracked pilot and performance-based referral arrangements, with payment linked to defined recruitment outcomes rather than a universal fixed subscription. Companies can use these services to attract applicants for general or hard-to-fill positions, including roles that require specific language skills, geographic eligibility or professional qualifications.

Transparency is a central part of the platform’s stated approach. Pay figures are linked to their underlying sources or labelled according to the available evidence, and job listings are refreshed as source information changes. The platform also discloses that some links may generate referral commissions. It states that these commissions do not change the pay offered by the hiring platform. Users should still check the original job posting, eligibility conditions, contract terms and payment arrangements before applying.

AITraining.jobs is a job-discovery and information service, not an employer that directly hires or pays every person featured in its directory. Applications are generally completed through the relevant third-party platform or employer. Consequently, passing an assessment, receiving an offer, accessing tasks and receiving payment depend on the organisation offering the work. Prospective applicants should also be cautious about sharing personal information, verify that they are using an official application page and avoid assuming that advertised work will provide a steady or guaranteed income.

Overall, AITraining.jobs is designed to make the AI training job market easier to navigate by combining job discovery, platform comparisons and pay information. Its main value is helping people identify potential opportunities and compare them with greater context before applying. It is particularly relevant to people interested in AI evaluation, data annotation, language work, coding assessments and specialist expert projects, as well as employers seeking contributors for AI-related assignments.

Pricing

• Job seekers: Free access to job discovery, platform comparisons and pay information.
• Job alerts: The website promotes free job-seeker access and a weekly job-alert email.
• Employers — tracked pilot: Free pilot to measure referral and recruitment results.
• Employers — tracked referrals: Payment is based on people who pass the employer’s vetting process and onboard.
• Employers — hard-to-fill roles: Pricing is based on qualified applicants and the agreed recruitment requirements.
• Custom employer arrangements: Contact AITraining.jobs for details and terms.

Prices and arrangements are subject to the current employer agreement. The website does not present a single universal subscription price for job seekers because the core service is free.

Review

AITraining.jobs is a useful discovery resource for people interested in paid AI training and evaluation work. Its main strengths are the breadth of its platform directory, its emphasis on advertised pay and its ability to group opportunities by work type and eligibility. Rather than requiring users to rely only on informal recommendations, it provides a central place to compare platforms and follow links to potential jobs.

The pay-source labels are particularly helpful because compensation estimates can otherwise be misleading. Its daily-refresh approach and country-related filtering can also help users identify opportunities that better fit their circumstances. However, listings and hiring activity change, and the presence of a role does not guarantee acceptance, a consistent workload or payment. Applicants should always verify details with the hiring organisation. Overall, AITraining.jobs is worth considering as a free starting point for researching AI training opportunities, but it should complement rather than replace checking the original job posting and employer requirements.