2

Entry Level Advanced Ai Data Trainer Jobs (NOW HIRING)

$55 - $110/hr

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 ...

About the Role We are looking for detail-oriented Trainers to support an AI data annotation project ... advanced AI systems. We're building smarter, more human AI with a diverse community in 100 ...

next page

Showing results 1-20

Entry Level Advanced Ai Data Trainer information

See salary details

$13

$31

$63

How much do entry level advanced ai data trainer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level advanced 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 the difference between Entry Level Advanced Ai Data Trainer vs Data Analyst?

AspectEntry Level Advanced Ai Data TrainerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis software
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI development teams, machine learning projectsBusiness intelligence, reporting, decision-making

While both roles involve working with data, Entry Level Advanced Ai Data Trainers focus on preparing and refining AI models through data annotation and training, whereas Data Analysts interpret data to generate insights for business decisions. The former is more technical and AI-specific, while the latter emphasizes data interpretation and reporting.

More about Entry Level Advanced Ai Data Trainer jobs

What cities are hiring for Entry Level Advanced Ai Data Trainer jobs?

Cities with the most Entry Level Advanced Ai Data Trainer job openings:

What are the most commonly searched types of Advanced Ai Data Trainer jobs?

The most popular types of Advanced Ai Data Trainer jobs are:

What states have the most Entry Level Advanced Ai Data Trainer jobs?

States with the most job openings for Entry Level Advanced Ai Data Trainer jobs include:

Infographic showing various Entry Level Advanced 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 5 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
#J-18808-Ljbffr