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Full Time 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 full time advanced ai data trainer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full time 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 Full Time Advanced Ai Data Trainer vs Data Analyst?

AspectFull Time Advanced Ai Data TrainerData Analyst
CredentialsRelevant certifications in AI, machine learning, data scienceDegree in statistics, data analysis, or related field
Work EnvironmentTech companies, AI labs, data training centersBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data for insights

While both roles involve working with data, a Full Time Advanced Ai Data Trainer focuses on training AI models through data annotation and validation, whereas a Data Analyst interprets data to generate business insights. The former requires specialized AI certifications, while the latter often has a background in statistics or data analysis. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are some common challenges faced by full time advanced AI data trainers, and how can they be addressed?

Full Time Advanced AI Data Trainers often encounter challenges such as maintaining high annotation accuracy, keeping up with rapidly evolving AI technologies, and handling large, complex datasets. To address these, it’s important to establish clear annotation guidelines, participate in regular team syncs to share best practices, and leverage automated tools to streamline repetitive tasks. Collaboration with data scientists and engineers is also key to ensuring the training data aligns with project goals, enabling continuous learning and improvement in the role.

What is a full time advanced AI data trainer?

A Full Time Advanced AI Data Trainer is a professional who specializes in preparing, labeling, and curating data used to train advanced artificial intelligence (AI) models. They work closely with data scientists and machine learning engineers to ensure that datasets are accurate, high-quality, and representative for the intended AI application. Their responsibilities may include annotating data, identifying patterns or anomalies, maintaining data integrity, and sometimes developing guidelines for data labeling. This role often requires strong analytical skills, attention to detail, and familiarity with AI concepts and tools. Full-time data trainers are essential in improving the performance and reliability of AI systems.

What are the key skills and qualifications needed to thrive as a full time advanced AI data trainer?

To excel as a Full Time Advanced AI Data Trainer, you generally need a background in data science, machine learning, and strong analytical abilities, often supported by a relevant degree or technical certification. Familiarity with annotation tools, programming languages like Python, and AI platforms such as TensorFlow or PyTorch is typically required. Attention to detail, problem-solving, and effective communication are vital soft skills for managing complex data and collaborating with AI development teams. These skills and qualities are crucial for ensuring high-quality data labeling, which directly impacts the accuracy and performance of AI models.
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Full Time Advanced Ai Data Trainer jobs near you
Infographic showing various Full Time Advanced Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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

$160K - $190K/yr

Full-time

Re-posted 22 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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