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Data Annotation Tech Jobs in Georgia (NOW HIRING)

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Data Annotation Tech information

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How much do data annotation tech jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data annotation tech in Georgia is $19.29, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $22.93 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of dataβ€”such as images, text, or audioβ€”and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

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

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

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

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

What cities in Georgia are hiring for Data Annotation Tech jobs?

Cities in Georgia with the most Data Annotation Tech job openings:

Infographic showing various Data Annotation Tech job openings in Georgia as of September 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,118 per year, or $19.3 per hour.

Applications/Integration Engineer (RMAC)

Savannah, GA β€’ On-site

Boston Dynamics, Inc.
Industrial Automation Equipment ManufacturingΒ β€’Β 51 - 200 employees

$134K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Job Summary As an Applications/Integration Engineer at the Robotic Metaplant Application Center (RMAC), you will serve as the engineering resource driving the transition of the Atlas humanoid robot into production-level automotive manufacturing. This unique role combines fleet management with application development. You will be the onsite engineering team responsible for the health of the onsite Atlas fleet while simultaneously designing the curriculum and playbooks that define how Atlas learns to perform complex sequencing and assembly tasks. Your work directly supports our long term goal to collect large volumes of high-quality data to enable Atlas's use in automotive manufacturing.

Key Responsibilities
  1. Data Collection Strategy & Curriculum Design Design and architect specific data collection tasks and scenarios to be executed by the robot operations team based on an in-depth understanding of Atlas capabilities and product goals for automotive manufacturing. Create detailed playbooks for each data collection task, ensuring high-quality, consistent data generation that meets strict QA standards. Develop success criteria and execute Operational Level Testing (OLT) and Factory Acceptance Testing (FAT) for behavior policies. Pilot Coaching & Evaluation: Provide expert feedback and coaching to Robot Pilots on best techniques; partner with the annotation team to identify and correct poor piloting trends. Collaborate with the Behavior team to implement best practices and provide feedback on system usability and performance.

  2. Fleet Management & Technical Triage Serve as the "Robot Captain" and first responder for robot hardware and software issues, performing deep-dive technical triage to localize failures. Analyze system logs, telemetry, and Real-Time (RT) code to narrow issues down to specific subsystems (sensors, actuators, or firmware). Coordinate with Onsite HW Support as well as Atlas Fleet management and engineering teams in Waltham to resolve complex, systemic field issues. Own and prioritize the daily experiment queue to maximize robot utilization and uptime during core shifts. Performance tracking of daily and long term performance metrics. Metrics reporting into established tracking systems.

  3. Site Integration & Automotive Deployment Develop playbooks and processes for integrating Atlas into HMGMA and Glovis facilities, ensuring solutions do not overfit to site-specific workflows. Oversee site-level solution architecture, managing network infrastructure and configuration for robust system connectivity. Facilitate pilot execution in HMGMA facilities once applications pass OLT. Coordinate directly with HMGMA/Glovis stakeholders on data and workflow integration for pilot and production deployments.

Desired Skills & Qualifications
  • Education: Bachelor's or Master's Degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.
  • Experience: 3-5+ years of professional experience in field application engineering, systems engineering, or robotics operations.
  • Technical skills: Proficiency in Linux (Ubuntu), including command-line management and networking telemetry. Experience with issue tracking systems (JIRA) and data-driven monitoring tools like Tableau. Automation: Proficiency in Python, C++, or scripting to develop custom tools, automate workflows, and troubleshoot integration challenges.
  • Communication: Proven ability to translate complex technical concepts for diverse audiences, including research scientists, executive stakeholders, and daily operators.
  • Travel & Availability Ability and willingness to travel domestically to other potential Atlas deployment sites or to Boston Dynamics HQ Ability to support a multi-shift operation (6am-2pm and 2pm-10pm) as needed to ensure fleet continuity.

The pay range for this position is between $134,000 to $170,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting.

Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure.

Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.

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