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Flex Schedule 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 ...

NewRocket

AI Data Intelligence Lead

OR · Remote

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI ...

Honeywell

Advanced AI Engineer

Charlotte, NC · On-site

... schedule. In this role, you will impact critical AI initiatives and drive technical excellence ... including data ingestion, feature engineering, model training, evaluation, and inference.

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Flex Schedule Advanced Ai Data Trainer information

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

As of Aug 4, 2026, the average hourly pay for flex schedule 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 the difference between Flex Schedule Advanced Ai Data Trainer vs Flex Schedule Ai Data Analyst?

AspectFlex Schedule Advanced Ai Data TrainerFlex Schedule Ai Data Analyst
Required CredentialsRelevant certifications in AI, data training, or machine learning; often a degree in computer science or related fieldDegree in data science, statistics, or related field; certifications in data analysis tools
Work EnvironmentRemote or flexible settings, focused on training AI models and data annotationRemote or office-based, analyzing data sets and generating reports
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, and tech industries

The Flex Schedule Advanced Ai Data Trainer primarily focuses on training AI models through data annotation and machine learning tasks, requiring specialized certifications. In contrast, the Flex Schedule Ai Data Analyst emphasizes analyzing data to inform business decisions. Both roles offer flexible schedules and are integral to data-driven industries, but they differ in their core responsibilities and required skills.

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Flex Schedule Advanced Ai Data Trainer jobs near you
Infographic showing various Flex Schedule Advanced Ai Data Trainer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Practice Manager - AI & Data

ALTEN Technology USA

Troy, MI • On-site

$160K - $190K/yr

Other

Re-posted 12 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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