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Safety Ai Data Trainer Jobs (NOW HIRING)

$55 - $110/hr

Environmental Engineering - AI Data Trainer About The Role We're partnering with the world ... safety, and regulatory compliance (EPA, ISO 14001, and others) * Sharpen AI Reasoning -- Identify ...

The Safety AI team builds end-to-end computer vision and machine learning for Samsara's AI dash ... You'll own the model lifecycle across edge and cloud - data curation, training, evaluation ...

The Safety AI team builds end-to-end computer vision and machine learning for Samsara's AI dash ... You'll own the model lifecycle across edge and cloud - data curation, training, evaluation ...

$179 - $287/hr

The Safety AI team builds end-to-end computer vision and machine learning for Samsara's AI dash ... You'll own the model lifecycle across edge and cloud - data curation, training, evaluation ...

$225K - $255K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ... safety, and engineering business units. * Develop and execute account-level commercial strategies ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Automate the training and deployment of AI/ML models into production via APIs and microservices. * Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify ...

This role will bridge AI, data, product, engineering, and safety teams to translate complex safety challenges into scalable solutions. The architect will shape technical strategy, establish reusable ...

This role will bridge AI, data, product, engineering, and safety teams to translate complex safety challenges into scalable solutions. The architect will shape technical strategy, establish reusable ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the practice including technical leadership across AI and Data * Define skills development objectives for ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

AI Data Architect

$65.25 - $84/hr

AI Data Architect Location: Denver, CO/REMOTE This position is for a remote work environment ... NIST AI Framework training or certification

WI · On-site

$120 - $170/hr

... training, closed-circuit television/security cameras and access controls, and construction ... The AI Data Engineer is responsible for building and operating high‑quality, governed, and ...

New

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

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Safety Ai Data Trainer information

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

As of Sep 4, 2026, the average hourly pay for safety ai data trainer in the United States is $27.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $31.25 per hour, depending on experience, location, and employer.

What is a Safety AI Data Trainer?

A Safety AI Data Trainer is responsible for curating, annotating, and refining datasets to improve the accuracy and reliability of AI models, specifically in safety-related applications. This role involves ensuring that AI systems recognize and respond appropriately to potential risks, biases, and hazards. Trainers work closely with machine learning engineers and data scientists to enhance model performance, reduce false positives/negatives, and maintain ethical AI use. The position requires strong analytical skills, attention to detail, and an understanding of safety protocols across various industries.

What does a typical day look like for a Safety AI Data Trainer?

As a Safety Ai Data Trainer, your day typically involves reviewing and labeling datasets to ensure they meet strict safety and ethical standards, collaborating closely with AI developers, and providing feedback on ambiguous cases. You may participate in regular team meetings to discuss evolving safety guidelines or tackle complex data scenarios. A significant part of your work is verifying the consistency and quality of the annotations, as well as staying updated on emerging risks and compliance requirements. This collaborative and detail-oriented environment allows you to directly influence the quality and trustworthiness of AI systems.

What are the key skills and qualifications needed to thrive as a Safety AI Data Trainer?

To thrive as a Safety Ai Data Trainer, you need a solid understanding of AI/machine learning principles, data labeling techniques, and safety protocols, often backed by a relevant technical degree or equivalent experience. Familiarity with annotation tools (such as Labelbox or Prodigy), version control systems like Git, and safety compliance certifications is highly beneficial. Strong attention to detail, communication skills, and a collaborative mindset will help you excel in multidisciplinary teams. These skills ensure accurate, safe, and reliable AI training data, which is vital for producing robust and ethical AI systems.

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Infographic showing various Safety Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $56,233 per year, or $27 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
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