ZipRecruiter

Log In

1

Hourly Ai Data Annotation Jobs in Rochester, MI (NOW HIRING)

next page

Showing results 1-20

All JobsHourly Ai Data Annotation JobsHourly Ai Data Annotation Jobs in Rochester, MI

Hourly Ai Data Annotation information

How much is $70,000 a year hourly?

For an Hourly AI Data Annotation role, earning $70,000 annually typically translates to about $33.65 per hour based on a standard 40-hour workweek and 52 weeks per year. This calculation does not account for taxes, benefits, or overtime, which can affect the actual hourly rate. The exact hourly wage may vary depending on the company's pay structure and work schedule.

What is an Hourly AI Data Annotation job?

An Hourly AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—to help train machine learning models. Annotators follow specific guidelines to ensure that the data is accurately labeled so that AI systems can learn to recognize patterns and make decisions. These jobs are typically paid by the hour and may require attention to detail, consistency, and sometimes familiarity with specialized annotation tools. This work is essential for improving the accuracy and usefulness of artificial intelligence applications.

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

Hourly AI data annotators often encounter challenges such as repetitive tasks, maintaining high accuracy under time constraints, and adapting to evolving project guidelines. To manage these, it's important to take regular breaks to avoid fatigue, stay up to date with training materials, and communicate proactively with team leads if instructions are unclear. Many teams use collaborative tools and regular feedback sessions to support annotators and ensure consistent quality, making teamwork and attention to detail vital for success in this role.

Is 2026 going to be hot?

As an Hourly AI Data Annotation worker, weather conditions like temperature are unrelated to the job. Weather forecasts for 2026 are not available, but climate trends suggest that some regions may experience warmer temperatures due to climate change. The job typically involves working indoors with data labeling tools and does not depend on weather conditions.

What does hourly mean?

In an hourly AI data annotation job, hourly refers to the pay rate calculated based on the number of hours worked. Workers are typically paid a set amount for each hour they spend annotating data, and the total earnings depend on the total hours completed, often tracked with time management tools or software.

What are the key skills and qualifications needed to thrive as an AI Data Annotator, and why are they important?

To thrive as an AI Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox or Supervisely, and basic computer proficiency, are often required. Critical thinking, consistency, and effective communication are valuable soft skills in this role. These skills ensure high-quality, reliable data that directly improves the performance of AI and machine learning models.

What is 20 an hour hourly?

For an Hourly AI Data Annotation role, earning $20 an hour means you are paid $20 for each hour of work completed. This rate is common for entry-level or part-time data annotation tasks, which often require attention to detail and familiarity with annotation tools. The total earnings depend on the number of hours worked per week or month.

What is the difference between Hourly Ai Data Annotation vs Data Labeler?

AspectHourly Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or in-office, flexible hoursRemote or in-office, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often with specific instructionsLabeling data to help AI models learn, often similar tasks

Hourly Ai Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI systems. The main difference lies in terminology; 'Hourly Ai Data Annotation' emphasizes the paid hourly aspect and the specific task of annotating data for AI training, while 'Data Labeler' is a broader term used interchangeably in the industry. Both roles require similar skills and are used in the same industry sectors.

What job categories do people searching Hourly Ai Data Annotation jobs in Rochester, MI look for? The top searched job categories for Hourly Ai Data Annotation jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Hourly Ai Data Annotation jobs? Cities near Rochester, MI with the most Hourly Ai Data Annotation job openings:
Hourly Ai Data Annotation jobs near you

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Posted 20 days ago

Job description

Position: Robotics Data Collection Engineer

Location: Warren, Michigan (Onsite)

Duration: 12+Months with possible extensions

Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)

Position Summary:

Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You will contribute to building the datasets that power the next generation of intelligent manufacturing automation at Warren Technical Center.

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).
  • Ability to work on-site at Warren Technical Center, 5 days per week.
  • Attention to detail and ability to follow technical procedures and documentation.
  • Reliability, accountability, and ability to work independently and as part of a team.
  • 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.

What is Offered:

•              Hands-on experience with cutting-edge robotics and AI technology.

•              Opportunity to contribute to transformative manufacturing automation.

•              Collaborative team environment with world-class engineers and researchers.