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Freelance Machine Learning Data Annotation Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

Chase

Data Domain Architect Lead

Wilmington, DE · On-site

Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis * Partner with leads in Data Science ...

Chase

Data Domain Architect Lead

Plano, TX · On-site

Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis * Partner with leads in Data Science ...

Chase

Data Domain Architect Lead

Columbus, OH · On-site

Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis * Partner with leads in Data Science ...

Kasmo Global

Data Annotation AI Specialist

Chicago, IL · Hybrid

... Machine learning, Deep Learning and Data science solutions across the organization. The position could be based out of our Chicago or NY offices. We are seeking a Data Annotation AI Specialist to ...

Mindrift

Freelance Machine Learning Engineer

$90/hr

Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) * Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their ...

Alignerr

Senior Machine Learning Engineer

Manhattan, NY · Remote

$60 - $80/hr

Prior experience with data annotation, data quality, or evaluation systems. * Top-tier Kaggle ... Freelance perks: autonomy, flexibility, and global collaboration. * Potential for contract ...

Alignerr

Prior experience with data annotation, quality evaluation, or AI training data workflows * Top-tier ... Freelance autonomy with the intellectual depth of genuinely meaningful, senior-level work * Rare ...

Alignerr

Prior experience with data annotation, data quality assurance, or AI evaluation systems ... Freelance autonomy: choose your own pace, work asynchronously, and collaborate globally * Gain deep ...

Bot Auto

Data Annotation Specialist

Houston, TX

Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Alignerr

Senior Machine Learning Engineer

Seattle, WA · Remote

$119K - $163.40K/yr

Prior experience with data annotation, data quality assurance, or model evaluation systems * Top ... Freelance autonomy with the substance of genuinely impactful, intellectually challenging work

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154.30K/yr

Prior experience with data annotation, data labeling, or AI evaluation workflows * Familiarity with ... Freelance autonomy with the substance of meaningful, high-impact technical work * Gain rare, hands ...

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How much do freelance machine learning data annotation jobs pay per hour?

As of May 28, 2026, the average hourly pay for freelance machine learning data annotation in the United States is $21.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.00 per hour, depending on experience, location, and employer.

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

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

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Freelance Machine Learning Data Annotation jobs near you

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They are seeking a highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data for their autonomous driving system, working closely with engineering teams to ensure high-quality data standards.
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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