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Advanced Ai Data Trainer Jobs (NOW HIRING)

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

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

As of Sep 11, 2026, the average hourly pay for 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 an advanced AI data trainer?

An Advanced AI Data Trainer is responsible for training, refining, and improving AI models by curating, labeling, and analyzing datasets. They ensure AI systems generate accurate and meaningful responses by reviewing outputs, identifying errors, and providing corrective feedback. This role requires strong analytical skills, attention to detail, and an understanding of machine learning concepts. Trainers collaborate with engineers and data scientists to enhance model performance and align AI outputs with real-world applications.

What does an advanced AI data trainer do?

A typical day for an Advanced AI Data Trainer involves labeling and curating data, reviewing and refining datasets for accuracy, and collaborating with data scientists, machine learning engineers, and subject matter experts. You may conduct quality checks, develop annotation guidelines, and provide feedback to ensure data consistency. Often, you'll juggle multiple projects simultaneously and participate in meetings to discuss project requirements or data-specific challenges. This role is dynamic and requires continuous learning to keep up with evolving AI technologies and best practices.

What are the key skills and qualifications needed to thrive in the advanced AI data trainer position, and why are they important?

To thrive as an Advanced AI Data Trainer, you need a strong foundation in data annotation, machine learning concepts, and programming skills—often backed by a relevant degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, data labeling software, and experience in quality assurance processes are highly beneficial, and certifications in AI or data science can strengthen your profile. Excellent attention to detail, communication, and problem-solving abilities help you collaborate effectively and ensure data accuracy. These skills are crucial for building high-quality datasets that enable the development and refinement of advanced AI models.

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Infographic showing various Advanced Ai Data Trainer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Practice Manager - AI & Data

Troy, MI

ALTEN Technology USA
Engineering Professional Services • 10K+ employees
Learn more about ALTEN Technology USAexternal

$160K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

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. 

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