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Home Based Data Annotation Jobs in Michigan (NOW HIRING)

Developing and maintaining Python-based optimization models to support demand elasticity ... to home? Will your career be a deep dive into what you love, or a series of new teams and new ...

Evaluate:  Review data related to child outcomes, school readiness benchmarks, as well as child ... Home-Based Child Development Associates (CDA) Credential; OR an associate or bachelor's degree in ...

Review data related to child outcomes, school readiness benchmarks, as well as child and family ... Home-Based Child Development Associates (CDA) Credential; OR an associate or bachelor's degree in ...

Review data related to child outcomes, school readiness benchmarks, as well as child and family ... Home-Based Child Development Associates (CDA) Credential; OR an associate or bachelor's degree in ...

We take pride in offering personalized, evidence-based care. We work closely with primary care ... Participates in Process Improvement (PI) program by assisting with collection of data and serves on ...

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Home Based Data Annotation information

Can you do data annotation from home?

Home-based data annotation jobs are common and typically involve labeling data such as images, text, or audio using specialized tools. These roles often require a reliable internet connection, attention to detail, and sometimes specific training or guidelines, making remote work feasible for qualified candidates.

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

How much do home based data annotation jobs pay?

Home-based data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Some positions may offer per-task payments or project-based rates, with experienced annotators earning higher wages. These jobs often require attention to detail and familiarity with annotation tools or platforms.
What are the most commonly searched types of Data Annotation jobs in Michigan? The most popular types of Data Annotation jobs in Michigan are:
What are popular job titles related to Home Based Data Annotation jobs in Michigan? For Home Based Data Annotation jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Home Based Data Annotation jobs? Cities in Michigan with the most Home Based Data Annotation job openings:
Infographic showing various Home Based Data Annotation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 29 days ago


Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
 
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).