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Senior 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's leading AI research teams to build smarter, more technically rigorous AI models -- and we need ...

KSA Integration

Senior AI Data Analyst

Stafford, VA · On-site

$145K - $170K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon, directing an off-site data team and delivering analytics, modeling, and simulation products that inform ...

KSA Integration

Senior AI Data Analyst

VA · On-site

$145K - $170K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon, directing an off-site data team and delivering analytics, modeling, and simulation products that inform ...

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$160 - $180/hr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications. The anticipated base salary range for this role is ...

Exelixis, Inc.

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug ...

The Bronx

Senior AI Data Scientist

Manhattan, NY · On-site

$190 - $220/hr

Senior AI Data Scientist This is a direct hire, remote position in New York, NY, with up to 25% annual travel including an annual international offsite company meeting requiring a valid passport.

Carlyle

Data & AI Engineer

New York, NY · Hybrid

$125K - $150K/yr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications. The anticipated base salary range for this role is ...

Carlyle

Data & AI Engineer

Manhattan, NY · On-site

$160 - $180/hr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications. The anticipated base salary range for this role is ...

Carlyle

Data & AI Engineer

New York, NY · On-site

$125K - $150K/yr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications. The anticipated base salary range for this role is ...

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications. The anticipated base salary range for this role is ...

Carlyle

Data & AI Engineer

Washington, DC · On-site

$160 - $180/hr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications.The anticipated base salary range for this role is ...

Artefact

Senior, AI & Data Consulting

Manhattan, NY · On-site

The Role Artefact is looking for a Senior AI & Data Consultant: an analytical, client-facing consultant who is also a hands-on builder with AI. You will perform advanced analytics, interface directly ...

Artefact

Senior, AI & Data Consulting

Manhattan, NY · On-site

The Role Artefact is looking for a Senior AI & Data Consultant: an analytical, client-facing consultant who is also a hands-on builder with AI. You will perform advanced analytics, interface directly ...

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Senior Ai Data Trainer information

See salary details

$24.5K

$77.3K

$136.5K

How much do senior ai data trainer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior ai data trainer in the United States is $77,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a senior AI data trainer?

Senior AI Data Trainers are professionals who oversee the creation, curation, and labeling of data used to train artificial intelligence models. They ensure that data is accurately annotated and aligned with the requirements of the machine learning project, often supervising and mentoring junior data trainers. Their responsibilities also include developing guidelines, maintaining data quality standards, and collaborating with data scientists and engineers to improve AI model performance. Senior AI Data Trainers play a critical role in the success of AI initiatives by ensuring high-quality, well-labeled datasets.

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

To thrive as a Senior AI Data Trainer, you need a strong background in data annotation, machine learning concepts, and quality assurance, typically supported by a relevant degree and prior experience in AI training projects. Familiarity with annotation tools, data labeling platforms, and version control systems is commonly required, along with knowledge of Python or similar scripting languages. Excellent attention to detail, communication, and problem-solving skills help ensure accurate data labeling and effective collaboration with cross-functional teams. These skills are crucial for building high-quality datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by senior AI data trainers when ensuring data quality for machine learning models?

Senior AI Data Trainers often encounter challenges such as managing large and diverse datasets, maintaining labeling consistency, and identifying subtle biases that could affect model performance. They must also coordinate with data engineers and machine learning teams to validate data accuracy and relevance. Addressing these challenges requires strong attention to detail, effective communication skills, and the ability to implement quality assurance processes throughout the data annotation lifecycle.

What is the difference between Senior Ai Data Trainer vs Data Analyst?

AspectSenior Ai Data TrainerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience with AI modelsBachelor's or higher in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, healthcare, or tech sectors; data-driven departments
Employer & Industry UsageAI-focused companies, tech startups, research institutionsVarious industries including finance, marketing, healthcare

While both roles involve working with data, a Senior Ai Data Trainer specializes in preparing and refining datasets for AI models, often requiring knowledge of machine learning and AI frameworks. In contrast, a Data Analyst focuses on interpreting data to generate insights for business decisions. The roles overlap in data handling but differ in technical focus and application.

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Senior Ai Data Trainer jobs near you
Infographic showing various Senior 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 $77,350 per year, or $37.2 per hour.

Environmental Engineering - AI Data Trainer

Associated Builders and Contractors (ABC)

Miami, FL • On-site

$55 - $110/hr

Other

This job post has expired today. Applications are no longer accepted.

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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