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Safety Ai Data Trainer Jobs (NOW HIRING)

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Improve model accuracy through iterative training, active learning, and few-shot learning ...

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Safety Ai Data Trainer information

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$27

$48

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.

Practice Manager - AI & Data

ALTEN Technology USA

Broomfield, CO • On-site

$160K - $190K/yr

Full-time

Re-posted 13 days ago


Key responsibilities

  • Lead and manage the AI & Data practice, including resource allocation and process development.

  • Partner with sales and client teams to identify opportunities, contribute to solutioning, and support client discussions.

  • Provide technical leadership in advanced AI & Data domains, support delivery teams, and develop AI & Data offerings.


Job description

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

Responsibilities;

Practice Leadership & Management

  • Lead and manage the AI & Data practice
  • Manage and steer the allocation of practice resources across multiple activities, including:
    • Technical pre-sales support
    • Technical expertise delivery to projects
    • Recruitment support
    • 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 practice members and evaluate progress and effectiveness
  • Develop, improve, and standardize processes, methodologies, and tools
  • Foster a culture of collaboration, innovation, and knowledge sharing across the practice

Client Engagement & Pre-Sales

  • Partner with Sales and Account teams to identify and shape AI & Data opportunities
  • Lead or contribute to solutioning, proposals, and RFP responses
  • Act as a trusted advisor in client discussions and executive forums
  • Align AI & Data solutions with business value and client outcomes

Technical Leadership & Innovation

  • Provide leadership across advanced AI & Data domains:
    • Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems)
    • Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh)
    • Cloud-based AI architectures (AWS, Azure, GCP AI services)
  • Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning)
    • Support delivery teams with hands-on guidance and expert oversight
    • Drive development of AI & Data offerings, accelerators, and reusable assets
    • Identify opportunities for AI-driven productivity gains and automation
    • Ensure adoption of industry best practices and scalable architectures

Qualifications

  • 12-15 years of experience in consulting, engineering services, or technology-driven organizations
  • 5+ years of experience in AI, Data, or Analytics leadership roles
  • Proven experience building and scaling technical teams or practices
  • Experience in:
    • Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services)
    • AI/ML frameworks (e.g., Python ecosystem, TensorFlow, PyTorch, Scikit-learn)
    • Data Engineering tools & platforms (Spark, Databricks, distributed systems)
    • Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI)
    • MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
  • Understanding of data governance, security, and AI regulations

Skills & Competency Management

  • Create, maintain, and manage the practice skill matrix
  • Identify competency gaps and develop capability-building plans
  • Develop and coordinate technical training programs and certification initiatives
  • Build and strengthen a team of experts through:
    • Recruitment
    • Coaching and mentoring
    • Internal talent development and training
  • Support career development planning and succession management within the practice
  • Promote technical communities, best practices, and continuous learning initiatives

Educational Qualifications

  • Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field
  • Certifications in AI/ML, Cloud are a plus

Salary Range: $160,000-$190,000 + Annual Performance Bonus

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience 

Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. 

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process.

Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.