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Freelance Ai Data Trainer Jobs (NOW HIRING)

Associated Builders and Contractors (ABC)

$55 - $110/hr

Environmental Engineering - AI Data Trainer About The Role We're partnering with the world ... Freelance perks: autonomy, variety, and global collaboration * Get rare, hands‑on exposure to how ...

Jobgether

$65/hr

Our partner is looking for a Romanian Voice Actor - Freelance AI Trainer Project based in ... You will contribute authentic, high-quality Romanian voice data used to improve the clarity ...

Jobgether

$6 - $65/hr

Our partner is looking for a Maltese Voice Actor - Freelance AI Trainer Project based in ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Meridial

NY · On-site

$41.33 - $89.54/hr

Python Coding Specialist - Freelance AI Trainer Project Poland Are you a coding expert fluent in ... With high-quality training data, tomorrow's AI can democratize world-class education, keep pace ...

New

Jobgether

$6 - $65/hr

Our partner is looking for a Graphic Designer Specialist - Freelance AI Trainer Project based in ... It is an opportunity to turn your professional design judgment into high-quality training data with ...

New

Meridial

NY · On-site

$41.33 - $89.54/hr

... freelance AI Trainer role. The position involves engaging with large-scale AI models, verifying code quality, and documenting issues to enhance training data. Candidates should have a solid ...

New

Wing Assistant

$6 - $18/hr

Wing Data is looking for Freelance AI Audio & Video Trainers to support one of our clients on an AI Training Audio & Video Participation Study. This is a flexible, project-based opportunity rather ...

Jobgether

$11 - $30.65/hr

Our partner is looking for a Spanish Audio Specialist - Freelance AI Trainer Project based in ... Use basic programming literacy to understand JSON structures, functions, methods, structured data ...

New

Welo Global

Project Epsilon - Somali Data Trainer

$24/hr

About the Role We are looking for detail-oriented Trainers to support an AI data annotation project ... Work Type: freelance, remote * Hours/Schedule: 10 hours per week * Compensation: $24/hr * Duration ...

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How much do freelance ai data trainer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for freelance ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a freelance AI data trainer?

Freelance AI Data Trainers are independent professionals who help train artificial intelligence systems by providing, labeling, or annotating data. They may work on tasks such as categorizing images, transcribing audio, or assessing chatbot responses to improve the quality and accuracy of AI models. These trainers often collaborate with tech companies, startups, or research organizations on a contract basis and typically work remotely. Their work is crucial for developing reliable and unbiased AI systems.

What are the key skills and qualifications needed to thrive as a freelance AI data trainer?

To thrive as a Freelance AI Data Trainer, you need a strong understanding of data annotation, machine learning fundamentals, and domain-specific knowledge, often supported by a relevant degree or experience in data science. Familiarity with annotation platforms, data labeling tools, and version control systems is typically required, along with experience using collaborative software. Attention to detail, clear communication, and time management are crucial soft skills for ensuring accuracy and meeting project deadlines. These skills ensure high-quality training data, which is essential for developing effective and reliable AI models.

What are the typical challenges faced by freelance AI data trainers when working with diverse datasets?

Freelance AI Data Trainers often encounter challenges such as inconsistent data quality, varying annotation guidelines, and tight project deadlines. Working with clients across different industries may require quickly adapting to new subject matter and learning unique labeling standards. Communication with clients and project managers is key to ensuring alignment on data requirements and resolving ambiguities efficiently. Being proactive about clarifying instructions and maintaining meticulous records helps prevent errors and supports smooth project delivery.

What is the difference between Freelance Ai Data Trainer vs Freelance Data Annotator?

AspectFreelance Ai Data TrainerFreelance Data Annotator
CredentialsBasic understanding of AI, data labeling experienceBasic data labeling skills, attention to detail
Work EnvironmentRemote, project-basedRemote, project-based
Industry UsageTraining AI models, improving machine learning algorithmsLabeling data for AI training

While both roles involve working with data remotely, Freelance Ai Data Trainers focus on training AI models by providing guidance and feedback, whereas Freelance Data Annotators primarily label data to prepare datasets for AI training. The roles often overlap but differ in scope and responsibilities.

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Freelance Ai Data Trainer jobs near you
Infographic showing various Freelance Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Environmental Engineering - AI Data Trainer

Associated Builders and Contractors (ABC)

Miami, FL • On-site

$55 - $110/hr

Other

Posted 6 days ago

Job description

Environmental Engineering – AI Data Trainer

About The Role

We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models — and we need environmental engineers to help get there.

As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving how advanced language models reason through real-world environmental engineering problems. From contaminant transport to hazardous waste remediation, your expertise will directly shape the reliability of AI systems used by engineers, researchers, and policymakers worldwide.

This is a fully remote, flexible contract role — work on your own schedule, on problems that matter.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Advanced Technical Problems — Create challenging environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
  • Author Gold-Standard Solutions — Develop rigorous, step-by‑step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as benchmark responses for AI training
  • Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
  • Sharpen AI Reasoning — Identify where AI reasoning breaks down — incorrect stoichiometry, missed secondary impacts, flawed unit conversions — and provide structured feedback that directly improves model performance
Who You Are
  • Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
  • Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
  • Able to communicate complex technical and ecological concepts clearly and precisely in written form
  • Detail‑oriented — meticulous when it comes to unit conversions, chemical equations, and regulatory logic
  • Self‑motivated and comfortable working independently on technically demanding tasks
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality review, or evaluation systems
  • Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
Why Join Us
  • Work on cutting‑edge AI projects alongside top AI research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance perks: autonomy, variety, and global collaboration
  • Get rare, hands‑on exposure to how large language models are trained and evaluated
  • Contribute to AI that could shape the future of environmental science and sustainability
  • Potential for ongoing work and contract extension
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