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Hourly 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 ...

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

As of Aug 24, 2026, the average hourly pay for hourly 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 hourly advanced AI data trainer?

An Hourly Advanced AI Data Trainer is a professional who works on labeling, annotating, and refining data to train advanced artificial intelligence models. They use specialized tools and follow detailed guidelines to ensure that data fed to AI systems is accurate and relevant. This role often involves reviewing large sets of text, images, or other data types, identifying patterns, and correcting errors to improve AI performance. Paid on an hourly basis, these trainers help AI systems become more accurate and effective in understanding and generating human-like responses.

How do hourly advanced AI data trainers typically collaborate with engineering and data science teams to ensure data quality?

Hourly Advanced AI Data Trainers often work closely with engineering and data science teams to clarify annotation guidelines, resolve ambiguous cases, and provide feedback on data quality. Regular sync meetings or communication via project management tools are common, ensuring that trainers' insights help improve model training and accuracy. This collaboration fosters a shared understanding of project goals and enables prompt resolution of any data-related challenges, making the workflow more efficient and robust.

What are the key skills and qualifications needed to thrive as an hourly advanced AI data trainer, and why are they important?

To thrive as an Hourly Advanced AI Data Trainer, you generally need expertise in data annotation, a solid understanding of AI/ML concepts, and strong analytical skills, often supported by a relevant degree or experience in computer science or linguistics. Familiarity with annotation platforms, data labeling tools, and sometimes programming languages like Python is typically expected. Attention to detail, effective communication, and the ability to follow complex guidelines are crucial soft skills for excelling in this role. These skills ensure high-quality, accurate data that directly impacts the performance and reliability of AI models.

What is the difference between Hourly Advanced Ai Data Trainer vs Data Analyst?

AspectHourly Advanced Ai Data TrainerData Analyst
Required CredentialsRelevant certifications in AI, data science, or machine learning; often includes specialized trainingBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentRemote or on-site, focused on training AI models, data labeling, and model validationOffice or remote, analyzing datasets, creating reports, and providing insights
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing, and various industries requiring data insights

While both roles involve working with data, the Hourly Advanced Ai Data Trainer specializes in training AI models and data labeling, often requiring AI-specific certifications. Data Analysts focus on interpreting data, creating reports, and providing insights across industries. The roles differ mainly in their focus on AI training versus data analysis, though they share foundational data skills.

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Hourly Advanced Ai Data Trainer jobs near you
Infographic showing various Hourly 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 84% Physical, 4% 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 3 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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