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From Home Ai Data Labeling Jobs in Michigan (NOW HIRING)

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

... life-from advancing space exploration and life-saving medical devices to building autonomous ... Lead and manage the AI & Data practice * Manage and steer the allocation of practice resources ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... MI (Onsite from Day 1) Job Type: W2 Contract Main Skills: Senior Robotics Data Engineer (ML/AI ... labeling workflows to minimize manual annotation costs. · Enable simulation-to-real (Sim2Real ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

Lead pilot and proof-of-value engagements from requirements through deployment and knowledge ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Lead pilot and proof-of-value engagements from requirements through deployment and knowledge ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

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From Home Ai Data Labeling information

What are some common challenges faced by remote AI data labelers, and how can they be managed?

Remote AI Data Labelers often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and ensuring consistent data quality across assignments. To address these, it's important to establish a structured daily routine, take regular breaks to avoid fatigue, and use quality guidelines provided by employers. Staying connected with team members through chat platforms can also help clarify doubts quickly and maintain a sense of teamwork, even when working from home.

What is the difference between From Home Ai Data Labeling vs From Home Data Annotation?

AspectFrom Home Ai Data LabelingFrom Home Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI and machine learning companiesAI, machine learning, and data companies
Job FocusLabeling data for AI trainingAnnotating data for AI and ML models

From Home Ai Data Labeling and From Home Data Annotation are similar roles involving remote work and data preparation for AI. Data labeling typically emphasizes categorizing data, while data annotation may include more detailed marking. Both require basic skills and are used in AI industries, but labeling is often more specific to training datasets for machine learning models.

What are the key skills and qualifications needed to thrive as a from home AI data labeling specialist, and why are they important?

To thrive as a From Home AI Data Labeling specialist, you need keen attention to detail, basic computer literacy, and the ability to follow complex instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming or data handling systems is beneficial. Strong time management, self-motivation, and effective written communication help individuals excel when working independently. These skills ensure the accuracy and consistency of labeled data, which is critical for training reliable AI models.

What is from home AI data labeling?

From home AI data labeling is a remote job where individuals tag, categorize, or annotate data—such as images, text, or audio—to help train artificial intelligence systems. These tasks are essential for improving machine learning algorithms, as accurate labeled data allows AI models to learn and make better predictions. Data labelers can work on a variety of projects, including identifying objects in photos, transcribing audio, or organizing text according to guidelines. Most positions are freelance or contract-based, offering flexible work hours and the ability to work from anywhere with a computer and internet connection.

What are the most commonly searched types of Ai Data Labeling jobs in Michigan?

The most popular types of Ai Data Labeling jobs in Michigan are:

What are popular job titles related to From Home Ai Data Labeling jobs in Michigan?

For From Home Ai Data Labeling jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching From Home Ai Data Labeling jobs in Michigan look for?

The top searched job categories for From Home Ai Data Labeling jobs in Michigan are:

What cities in Michigan are hiring for From Home Ai Data Labeling jobs?

Cities in Michigan with the most From Home Ai Data Labeling job openings:

Infographic showing various From Home Ai Data Labeling job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution.

Practice Manager - AI & Data

ALTEN Technology USA

Troy, MI

$160K - $190K/yr

Full-time

Re-posted 24 days ago


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.