ai model trainer

DataAnnotation

<div>
 We are looking for an existing Independent Contractor to help train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role, you will need to hold an expert level of expertise in writing, editing, and language use. Other related fields include, but are not limited to: applied skills in research and fact-checking.
 
 
 
 Advantages Of Contracting With Us
 
 
 
 <ul>
 <li>
 You'll be able to choose which projects you want to work on and when
 </li>
 <li>
 You work on your own schedule, on your own computer, from the comfort of your own home
 </li>
 <li>
 Projects are paid hourly starting at $25-$30+/hr, with bonus rates available on some projects
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Excellent command of grammar, style, and brand voice
 </li>
 <li>
 A current, in progress, or completed Bachelor&rsquo;s degree is preferred but not required
 
 
 </li>
 </ul>
 
 Note
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 
 
 #generalist
</div>

Independent Contractor - AI Trainer

Deloitte

<div>Three hundred fifty million Americans rely on a healthcare system whose decision-making has become slow, costly, and adversarial - care delayed by prior authorization and paperwork, claims that misfire, clinical decisions made without the right information at the right moment, and patients who struggle to navigate or afford the care they need. Deloitte has a new AI-first effort,, backed by $1B in committed investment, building the reasoning models and agentic systems to rebuild how that system decides - across payers, providers, and life sciences, and for the patients they serve - so that care is faster, fairer, and far less wasteful. This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery behind American healthcare, at national scale. 
 
This is resourced to do real post-training at scale - committed investment in GPU compute and training infrastructure, not toy fine-tunes. 
 
As a Research Engineer on our post-training team, you will design, train, evaluate, and align the models that reason about healthcare - working across the full post-training lifecycle to shape model behavior for clinical and operational decisioning across the industry. Healthcare decisioning is one of the cleanest verifiable-reward domains outside math and code: the problems are hard. We ground that reward in real signals - clinical policy and criteria, adjudicated outcomes, and clinical-expert judgment - so correctness is checkable rather than asserted. 
 
You will own the post-training stack for our clinical reasoning models end to end - from data and reward design through trained, evaluated models that ship. This is not a prompt-engineering role. We are looking for people who understand not just how to use LLMs, but how to improve and shape model behavior through advanced post-training. 
 
You do not need a healthcare background. We pair every engineer with clinical and domain experts and teach you the domain - you bring the modeling depth. 
 
We hire on demonstrated depth, not years - the level you join at is determined through our interview process, based on the depth and judgment you demonstrate, not your years in a title. 
 
Work you'll do 
 
Post-training &amp; alignment 
 
<ul><li>Design and execute post-training pipelines: supervised fine-tuning (SFT), preference optimization, and reinforcement learning / alignment workflows.</li></ul> 
<ul><li>Build and optimize training using techniques such as SFT, RLHF, PPO, DPO, GRPO, RLAIF, and Constitutional AI, and understand how each affects reasoning quality, safety, latency, cost, and reliability.</li></ul> 
<ul><li>Train reasoning models for healthcare decisioning using verifiable-reward RL - designing reward signals and verifiers grounded in clinical guidelines, policy and criteria, and adjudicated outcomes.</li></ul> 
Reward modeling &amp; data 
 
<ul><li>Develop reward models and preference datasets to improve reasoning quality, factuality, safety, policy adherence, and task performance.</li></ul> 
<ul><li>Curate, clean, synthesize, and evaluate large-scale instruction, preference, and domain-specific datasets, with rigorous filtering, deduplication, and quality control.</li></ul> 
<ul><li>Build verification and reward pipelines from our proprietary clinical, claims, and operational data and from clinical-expert labeling - turning guidelines, policy, and adjudicated outcomes into checkable reward signals at scale.</li></ul> 
Efficient fine-tuning, training &amp; inference infrastructure 
 
<ul><li>Implement efficient fine-tuning strategies including LoRA, QLoRA, PEFT, and adapter-based approaches; build scalable distributed training using DeepSpeed, FSDP, Megatron-LM, Ray, or equivalent.</li></ul> 
<ul><li>Optimize inference performance - latency, throughput, quantization, and deployment efficiency - for production, including frameworks such as vLLM, TensorRT-LLM, or TGI.</li></ul> 
Small language models &amp; open-weight models 
 
<ul><li>Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud-hybrid deployment with strong performance-per-dollar.</li></ul> 
Evaluation, safety &amp; red teaming 
 
<ul><li>Design evaluation frameworks covering reasoning, hallucination detection, factuality, instruction following, structured outputs, and domain-specific metrics.</li></ul> 
<ul><li>Build healthcare-grade evaluation - held-out clinical benchmarks, deployment regression gates, calibration and uncertainty, factuality against ground truth, and bias/fairness evaluation across patient populations and subgroups - co-designed with clinical experts.</li></ul> 
<ul><li>Apply PHI/HIPAA-aware data handling and produce model documentation suitable for regulated clinical use.</li></ul> 
<ul><li>Perform red teaming and adversarial testing to identify alignment failures, unsafe behaviors, jailbreak vulnerabilities, and regression risks; collaborate with agentic and application teams to improve tool use, grounding, and long-horizon reasoning.</li></ul> 
The team 
 
Deloitte brings together AI researchers, modeling and platform engineers, architects, clinical and domain specialists, and product leaders to build, deploy, and operate verticalized AI systems across software, data, models, and cloud infrastructure - engineered for one of the most complex operating environments in the world. The work spans the healthcare industry - payers, providers, and life sciences - and involves genuinely hard reasoning problems, nuanced operational workflows, and a high bar for reliability, with little tolerance for shallow or unreliable outputs. We pair frontier AI research with production-grade engineering, and we ship into real clinical and operational settings rather than leaving models in the lab. 
 
You can go deep. The team sub-specializes across post-training research, data and reward engineering, and training and inference infrastructure - you won't be expected to own all of it alone. 
 
Required qualifications 
 
<ul><li>Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Computational Linguistics, or a related field.</li></ul> 
<ul><li>Demonstrated depth training and post-training large transformer-based language models in production or research - this is your craft, not coursework or a one-off fine-tune. Genuine depth including SFT and at least one preference-optimization or RL method, evidenced by shipped models, releases, or research.</li></ul> 
<ul><li>Hands-on experience with reasoning-model training and/or verifiable-reward (RLVR) workflows.</li></ul> 
<ul><li>Strong understanding of modern post-training techniques: SFT, RLHF, PPO, DPO, GRPO, RLAIF, and preference optimization workflows.</li></ul> 
<ul><li>Experience with open-weight foundation models such as Llama, Qwen, Mistral, DeepSeek, or equivalent architectures.</li></ul> 
<ul><li>Strong expertise in PyTorch and modern deep-learning tooling; experience with distributed training frameworks such as DeepSpeed, FSDP, Megatron-LM, or Ray.</li></ul> 
<ul><li>Experience implementing efficient fine-tuning techniques such as LoRA, QLoRA, PEFT, and quantization-aware workflows.</li></ul> 
<ul><li>Deep understanding of transformer architectures, tokenization, attention mechanisms, decoding strategies, and model scaling trade-offs.</li></ul> 
<ul><li>Strong grasp of LLM evaluation methodologies, benchmarking, reward modeling, and alignment trade-offs; experience with large-scale and synthetic datasets, filtering, deduplication, and quality-control pipelines.</li></ul> 
<ul><li>Strong Python engineering skills and production-grade software practices; ability to work through ambiguous, highly complex technical problems in fast-moving environments.</li></ul> 
<ul><li>Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve.</li></ul> 
<ul><li>Limited immigration sponsorship may be available.</li></ul> 
Preferred qualifications 
 
<ul><li>Experience building or optimizing reasoning models, agentic models, or tool-using LLM systems.</li></ul> 
<ul><li>Familiarity with inference optimization frameworks such as vLLM, TensorRT-LLM, TGI, or Ollama.</li></ul> 
<ul><li>Experience with multimodal models, speech models, or domain-specific foundation models; experience using large-scale GPU clusters and distributed compute.</li></ul> 
<ul><li>Contributions to open-source AI projects, research publications, benchmark development, or model releases.</li></ul> 
<ul><li>Familiarity with safety, governance, and responsible-AI practices; experience in regulated or high-stakes industries such as healthcare, finance, insurance, or public sector.</li></ul> 
Compensation 
 
Base salary is benchmarked to leading technology companies rather than traditional consulting scales, and the role carries a substantial performance-based incentive opportunity designed to grow with the value you help create - startup-style upside, with the backing of a committed, well-capitalized platform. The estimated base salary range is $134,500-$265,100 (not adjusted for geographic differential); actual base pay depends on your skills, experience, and level, and you may also be eligible for a discretionary annual incentive based on individual and organizational performance.</div>

Research Engineer — Post-Training & Small Language Models (SLMs), Healthcare AI

<div>
 We are looking for an existing Clinical Researcher to help train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role, you will need to hold an expert level of biology. Other related fields include, but are not limited to: Biology and/or Biochemistry.
 
 
 
 Advantages Of Contracting With Us
 
 
 
 <ul>
 <li>
 You'll be able to choose which projects you want to work on and when
 </li>
 <li>
 You work on your own schedule, on your own computer, from the comfort of your own home
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonus rates available on some projects
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex biology questions and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Understanding of cell biology, genetics, biochemistry, and experimental methods
 </li>
 <li>
 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Note
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 
 
 #bio
</div>

Clinical Researcher - AI Trainer

<div>
 
 About The Job
 
 
 
 We are looking for an existing advanced mathematician to help train AI models.
 
 
 In this role, you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 
 
 
 Advantages Of Contracting With Us
 
 
 
 <ul>
 <li>
 You'll be able to choose which projects you want to work on and when
 </li>
 <li>
 You work on your own schedule, on your own computer, from the comfort of your own home
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonus rates available on some projects
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
 </li>
 <li>
 A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
 
 
 </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 
 
 #math
</div>

Mathematics - AI Trainer

Prolific

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (EST)

EDUHUB MANAGEMENT CONSULTANCIES CO.

AI &amp; Automation Trainer Location: Dubai, UAE Employment Type: Part-Time (Online) Organization: International Institute of Digital Marketing Studies (IIDMS)About the RoleIIDMS is seeking an experienced and industry-focused AI &amp; Automation Trainer to deliver our flagship Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.The ideal candidate should possess hands-on expertise in Generative AI tools, Prompt Engineering, AI-powered productivity solutions, and business automation applications. The trainer will be responsible for delivering practical, business-oriented training to working professionals and corporate learners.Key Responsibilities<ul><li>Deliver instructor-led training for the Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.</li><li>Conduct practical workshops, demonstrations, and hands-on exercises using leading AI platforms.</li><li>Guide learners in applying AI tools to real-world business scenarios.</li><li>Support participants in developing AI-powered workflows and automation projects.</li><li>Develop and update training materials, assessments, case studies, and learning resources.</li><li>Evaluate learner progress and provide mentoring throughout the program.</li></ul>Required ExpertiseCandidates should have strong practical experience in:<ul><li>Generative AI Fundamentals</li><li>ChatGPT, Google Gemini, Claude AI, Microsoft Copilot, Perplexity AI, and NotebookLM</li><li>Prompt Engineering and Prompt Optimization</li><li>AI-Powered Content Creation</li><li>AI for Business Communication and Productivity</li><li>Research and Report Generation using AI</li><li>Workflow Automation Concepts</li><li>No-Code and Low-Code Automation Tools</li><li>AI Applications in Marketing, Sales, Customer Experience, and Business Operations</li><li>AI Governance, Ethics, Security, and Responsible AI Practices</li></ul>Preferred Qualifications<ul><li>Bachelor's or Master's degree in Business, Information Technology, Computer Science, AI, or a related field.</li><li>Minimum 3 years of AI training, consulting, or implementation experience.</li><li>Experience delivering corporate training programs and professional certification courses.</li><li>Strong presentation, facilitation, and communication skills.</li><li>Relevant certifications in Artificial Intelligence, Generative AI, Automation, or Digital Transformation.</li></ul>What We Are Looking For<ul><li>Ability to simplify complex AI concepts for business professionals.</li><li>Strong understanding of practical business applications of AI.</li><li>Experience conducting interactive workshops and project-based learning.</li><li>Passion for emerging technologies and continuous learning.</li></ul>Apply NowInterested candidates may submit their updated CV and relevant certifications to:Email: hr@eduhubinstitute.comSubject: Application &ndash; AI &amp; Automation TrainerOnly shortlisted candidates will be contacted.Work Location: In person

AI & Automation Trainer

Toloka Annotators

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 As an AI Trainer - Annotator, your contribution will help train AI models, shaping how they understand and interact with the world. This isn't just traditional feedback - you'll be evaluating and improving how AI reasons, responds, and handles real-world tasks like online shopping experiences.
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 
 <ul>
 <li>
 Evaluating AI-generated responses across a range of tasks, including e-commerce and online shopping scenarios, drawing on your own experience as an online shopper
 </li>
 <li>
 Providing honest, detailed, and useful feedback that helps improve model and agent performance
 </li>
 <li>
 Following style and quality standards to ensure consistency
 </li>
 <li>
 Collaborating with Quality Assurance Specialists to refine and improve content
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 If you're a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Bachelor's degree in any subject field;
 </li>
 <li>
 At least 1 year of professional or educational experience in any field;
 </li>
 <li>
 Strong written English (C1/C2);
 </li>
 <li>
 Stable internet connection
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $18 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

AI Trainer - Freelance Annotator (English)

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