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Freelance Data Annotation Specialist Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks. Responsibilities : • 3D Perception ...

Dyna Robotics

Data Annotation Specialist

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Bot Auto

Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

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How much do freelance data annotation specialist jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for freelance data annotation specialist in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Data Annotation Specialist, and why are they important?

To thrive as a Freelance Data Annotation Specialist, you need strong attention to detail, proficiency in data labeling concepts, and a foundational understanding of data privacy and security. Familiarity with annotation tools like Labelbox, Supervisely, or CVAT, and sometimes basic knowledge of Python or data formats (e.g., JSON, CSV) is often required. Being reliable, self-motivated, and able to follow complex guidelines distinguishes top performers in remote, independent work environments. These skills ensure high-quality, accurate datasets that are essential for training reliable machine learning models.

What is the difference between Freelance Data Annotation Specialist vs Data Labeler?

AspectFreelance Data Annotation SpecialistData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible freelance projectsRemote or on-site, often part-time or full-time
Employer/IndustryTech companies, AI/ML firms, freelance platformsTech companies, AI/ML teams, often in-house or outsourced

Freelance Data Annotation Specialists and Data Labelers perform similar tasks involving labeling data for machine learning. The main difference lies in the scope and flexibility: Freelance Specialists often work independently on varied projects, while Data Labelers may be employed full-time or part-time within organizations. Both roles require attention to detail and basic technical skills, but Freelance Data Annotation Specialists typically have more flexibility and diverse project experience.

What does a Freelance Data Annotation Specialist do?

A Freelance Data Annotation Specialist is responsible for labeling, tagging, or categorizing data—such as images, text, or audio—to help train artificial intelligence and machine learning models. They work independently, often on a contract basis, for organizations that require large annotated datasets. Their tasks may include identifying objects in photos, transcribing spoken words, or classifying text according to specific criteria. This work is essential for improving the accuracy and performance of AI systems. Freelance specialists must pay close attention to detail and follow specific guidelines to ensure high-quality annotations.

What are some common challenges faced by Freelance Data Annotation Specialists, and how can they be managed?

Freelance Data Annotation Specialists often encounter challenges such as maintaining consistent data quality, meeting tight deadlines, and understanding complex annotation guidelines from clients. It's important to develop strong time management skills and clarify instructions with clients before starting a project. Additionally, using annotation tools efficiently and staying updated on best practices can help ensure accuracy and efficiency in your work.
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Freelance Data Annotation Specialist jobs near you
Infographic showing various Freelance Data Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks. The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks.
Responsibilities:
• 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
• Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
• Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
• Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
• Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
• Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Qualifications:
Required:
• Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
• Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
• Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird’s Eye View).
• Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
• Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred:
• Prior experience in data annotation for autonomous driving, robotics, or computer vision.
• Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
• Experience with 3D labeling tools.
• Familiarity with HD maps.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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