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Annotation Jobs in Novi, MI (NOW HIRING)

Mercor

CAD Engineer - AI Trainer

Detroit, MI · Remote

$70 - $90/hr

Position: CAD Engineer -- ScreenSpot Plus (Screenshot Capture & UI Annotation) Type: Contract Compensation: $70-$90/hour Location: Remote Role Responsibilities * Capture high-quality screenshots of ...

Mercor

Permitting Expert - AI Trainer

Detroit, MI · Remote

$65 - $90/hr

Define annotation guidelines for interpreting building codes and jurisdictional differences. Provide expertise on edge cases such as mixed-use zoning, variances, and complex permitting scenarios.

Varsity Tutors

High School Reading Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Varsity Tutors

High School Reading Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Lead and mentor - serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site

$102K - $140K/yr

Lead and mentor - serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the ...

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All JobsAnnotation JobsAnnotation Jobs in Novi, MI

Annotation information

See Novi, MI salary details

$42.2K

$54.8K

$91.5K

How much do annotation jobs pay per year?

As of Jul 27, 2026, the average yearly pay for annotation in Novi, MI is $54,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $54,400.00 per year, depending on experience, location, and employer.

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Workers typically use specialized tools to add accurate annotations, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality assurance specialists, and domain-specific annotators will continue to be essential, especially in areas needing nuanced understanding and accuracy. Skills in critical thinking and familiarity with annotation tools will support job stability in this field.

What are the key skills and qualifications needed to thrive in the Annotation position, and why are they important?

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

How much do annotators make?

Annotators typically earn between $10 and $20 per hour, depending on the complexity of the task, experience, and the employer. Many work remotely and may be paid per task or project rather than hourly, with some platforms offering bonuses for high accuracy or speed.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are popular job titles related to Annotation jobs in Novi, MI? For Annotation jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Annotation jobs in Novi, MI look for? The top searched job categories for Annotation jobs in Novi, MI are:
What cities near Novi, MI are hiring for Annotation jobs? Cities near Novi, MI with the most Annotation job openings:
Annotation jobs near you
Infographic showing various Annotation job openings in Novi, MI as of July 2026, with employment types broken down into 1% As Needed, 50% Full Time, 47% Part Time, and 2% Contract. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution, with an average salary of $54,804 per year, or $26.3 per hour.

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Posted 19 days ago

Job description

Role: Senior Robotics Data Collection Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
 
Key Responsibilities:
· Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
· Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
· Organize, label, and validate data according to established annotation guidelines and quality standards.
· Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
· Execute data collection campaigns following documented protocols and experimental designs.
· Troubleshoot data collection issues and document problems for engineering teams.
· Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.
 
Required Qualifications:
· College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
· Attention to detail and ability to follow technical procedures and documentation.
· Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
· Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
· Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.
 
Preferred Qualifications:
· Experience with robotics, manufacturing, or data collection.
· Familiarity with Python, Linux, or data tools (beneficial but not required).
· Experience operating or troubleshooting technical equipment.
· Basic understanding of machine learning, AI, or data annotation concepts.
· Experience in automotive or manufacturing environments.