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Data Annotation Tech Remote Jobs in Michigan (NOW HIRING)

Data Analyst

Grand Rapids, MI ยท Remote

$90K - $110K/yr

Position: Data Analyst Job Type: Permanent Salary: $90,000-$110,000 Benefits: Healthcare Insurance, paid parental/maternity leave, unlimited PTO, 401k w/match, and employee wellness programs.

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Data Annotation Tech Remote information

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the most commonly searched types of Data Annotation Tech jobs in Michigan?

The most popular types of Data Annotation Tech jobs in Michigan are:

What are popular job titles related to Data Annotation Tech Remote jobs in Michigan?

For Data Annotation Tech Remote jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Michigan look for?

The top searched job categories for Data Annotation Tech Remote jobs in Michigan are:

What cities in Michigan are hiring for Data Annotation Tech Remote jobs?

Cities in Michigan with the most Data Annotation Tech Remote job openings:

Infographic showing various Data Annotation Tech Remote job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Software Engineer: Fleet Enablement & Insights (Map Validation & Annotation Platform)

Ann Arbor, MI โ€ข On-site, Remote

Torc Robotics
Truckingย โ€ขย 501 - 1,000 employees

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Senior Software Engineer will be a technical leader on the Fleet Enablement & Insights team, responsible for architecting and building systems that span two critical pipelines for Torc's autonomous truck platform: the map validation and simulation pipelines and the annotation platform. This role owns hard engineering problems behind both, designing scalable services and data pipelines that package maps for simulation, validate mapping updates before release, and the systems required for scalable web-based annotation tooling. The ideal candidate is a seasoned backend or full-stack engineer who thrives in a fast-paced environment, sets the technical bar for others, and is energized by complex data engineering, distributed systems, and geospatial simulation challenges. This position offers the opportunity to work at the intersection of software engineering, autonomous systems, and large-scale data operations, with a direct line of sight to the data that trains and validates the AV stack.
What You'll Do
  • Architect, build, and own backend services and data pipelines that power the map validation and simulation pipelines for the autonomous trucking platform.
  • Provide technical leadership to the annotation platform building scalable web-based annotation tooling including cuboid and polygon editing, cross-frame interpolation and track propagation, attribute editing, and review-first (accept/reject) workflows.
  • Design robust data models and storage architectures across relational, spatial, and large-scale object stores, ensuring data integrity, lineage, and performance from ingest through delivery.
  • Build high-performance point cloud and image rendering with three.js/WebGL: octree/LOD-based streaming formats, predictive prefetching for smooth frame scrubbing, camera-LiDAR projection, and multi-sensor overlays across a high camera count.
  • Leverage AWS cloud services (e.g., S3, Lambda, ECS, RDS) to build and deploy scalable, reliable pipelines and services, and set the standards for how the team builds on them.
  • Drive technical design and architecture decisions across the map validation and annotation platform domains, weighing tradeoffs, documenting direction, and aligning stakeholders.
  • Collaborate closely with cross-functional teams including Mapping, Simulation, Annotation, and Perception to align capabilities with upstream and downstream requirements.
  • Mentor engineers through code reviews, design reviews, and pairing, and raise the bar for engineering excellence, documentation, and operational rigor across the team.
  • Identify and drive down technical debt, performance bottlenecks, and reliability gaps across the map validation and annotation stacks, and lead the response when they surface in production.

What You'll Need to Succeed
  • Strong experience (5+ years) building and operating production backend services at scale.
  • Expertise in Python, with a track record of designing and shipping production-quality services and tools.
  • Strong proficiency with SQL for querying, transforming, and analyzing relational and analytical data.
  • Experience designing and building web services and APIs that support web-based tooling, with strong knowledge of TypeScript and modern web frameworks (backend depth required; full-stack a strong plus).
  • Working knowledge of C++, or the ability to ramp into it.
  • Strong database and data-modeling expertise, including hands-on experience with PostgreSQL or similar, and designing schemas for integrity, lineage, and performance.
  • Demonstrated ownership of system design and architecture for complex, multi-service or multi-pipeline systems.
  • Proficiency with Git and GitHub for version control, branching strategies, and collaborative code workflows.
  • Familiarity with JIRA or similar project management tools for tracking tasks, bugs, and sprint deliverables.
  • Strong software engineering fundamentals including data structures, algorithms, distributed systems, and reliability engineering.
  • Strong written and verbal communication skills, with the ability to lead technical discussions and collaborate across technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.

Bonus Points
  • Experience designing data annotation, labeling, or data-delivery platforms and the web tooling behind them.
  • Familiarity with PostGIS for advanced spatial queries, geometry operations, and geospatial data management.
  • Experience working with large binary or sensor datasets (point clouds, imagery, video) and optimizing data-heavy user interfaces for performance.
  • Experience with point cloud rendering and streaming formats (octree/LOD structures such as Potree or COPC, 3D Tiles, LAS/LAZ) or large-scale spatial data structures.
  • Experience with browser-based 3D graphics (three.js, WebGL, or similar), or strong graphics fundamentals and a demonstrated ability to ramp quickly.
  • Prior experience working with High-Definition (HD) maps, map formats (e.g. OpenDRIVE, NDS, Lanelet2), or map production pipelines.
  • Familiarity with robotics data and visualization ecosystems (e.g., Rerun, Foxglove, MCAP, ROS bags).
  • Background in autonomous trucking or autonomous vehicles, with an understanding of how map and annotation data feed the AV stack.
  • Contributions to open-source geospatial, data engineering, simulation, robotics, or annotation projects.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102972
Hiring Range for Job Opening
US Pay Range
$160,800-$193,000 USD