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Freelance Machine Learning Data Annotation Jobs (NOW HIRING)

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

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.

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

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.

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Machine Learning Engineer

Cupertino, CA · On-site

$187K - $220K/yr

Develop data annotation tools with integrated machine learning models for efficient data annotation. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined ...

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Develop data annotation tools with integrated machine learning models for efficient data annotation. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined ...

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

... experience in Machine Learning , Data Science , Software Engineering , Computer Science ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Description We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ...

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Freelance Machine Learning Data Annotation information

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

As of Jul 9, 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 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.

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 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 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.
More about Freelance Machine Learning Data Annotation jobs
What cities are hiring for Freelance Machine Learning Data Annotation jobs? Cities with the most Freelance Machine Learning Data Annotation job openings:
What are the most commonly searched types of Machine Learning Data Annotation jobs? The most popular types of Machine Learning Data Annotation jobs are:
What states have the most Freelance Machine Learning Data Annotation jobs? States with the most job openings for Freelance Machine Learning Data Annotation jobs include:
What job categories do people searching Freelance Machine Learning Data Annotation jobs look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs are:
Infographic showing various Freelance Machine Learning Data Annotation 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 $45,483 per year, or $21.9 per hour.

Data Annotation Specialist (Contractor)

Collectorsuniverse

Santa Ana, CA • Hybrid

$25 - $30/hr

Full-time

Re-posted 2 days ago


Job description

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We're always on the lookout for talented people to join our growing team.


Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.


Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, and France.


As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.


We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.


We're looking for a Data Annotation Specialist contractor who can work full-time (40 hours per week) for an 8-week on-site (Santa Ana) contract assignment with our AI/ML Team. As a Data Annotation Specialist, you will support a high-priority initiative focused on building high-quality training data for our machine learning models. Your work will involve reviewing images, following detailed labeling guidelines, and accurately annotating data within our internal software. You will be motivated to reach your goals and deadlines as you focus on accurately labeling, tagging, and categorizing large datasets.

You'll report to AI/ML Director and work from our Santa Ana, CA office headquarters.

Onsite Requirement:

This role requires you to be onsite in the office 5 days per week.

What You'll Do:

  • Prepare and annotate large volumes of data with precision, efficiency, and within project timelines

  • Collaborate with team members to ensure data is labeled consistently and accurately according to defined guidelines

  • Perform quality control checks to maintain high levels of annotation accuracy

  • Communicate effectively with stakeholders to understand project requirements and labeling specifications

  • Continuously improve annotation workflows to increase efficiency and reduce errors

Who You Are:

  • You have a personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but it helps)

  • You have a keen eye for accuracy and strong attention to detail

  • You are motivated by clear goals and consistent, measurable output, and can maintain focus through repetitive, high-volume work

  • You work well both independently and as part of a team, with strong time management and minimal need for oversight

  • You communicate clearly and are comfortable asking critical questions

  • You are comfortable with standard computer tools and data management systems

  • Familiarity with data annotation tools or similar software and data formats such as CSV, JSON, and XML

  • Prior experience with detail-oriented data work, QA, or repetitive precision tasks

Training you will receive in the role:

  • Annotation Tools - Training on internal software to efficiently label large datasets

  • Data Management - Training on data management practices to organize and maintain accurate, high-quality datasets

  • Quality Control - Training on QC methods to ensure data meets accuracy and consistency standards

  • Machine Learning Concepts - For interested candidates, an introduction to the basics of machine learning concepts and how annotation supports model training

Physical Requirements:

  • Computer Use: Typing, mouse work, and sitting and looking at a computer potentially for long periods of time

  • Hand Use: Regular hand use for various tasks

  • Hearing Requirements: Ability to hear alarms, signals, and verbal instructions

  • Lifting and Carrying: Ability to routinely lift, carry, and move materials up to 40 pounds

  • Sitting: Ability to sit for extended periods of time

  • Sitting or Standing: Ability to sit or stand for extended periods of time

  • Vision: Using vision aiding devices, as well as sitting in dark or dimly lit rooms with soft desk lighting

Hourly Range:

The hourly range for this position is $25 - $30. Actual compensation in this range will be based on a variety of non-discriminatory factors, including location, job level, prior experience, and skill set.

Candidates must be authorized to work in the United States.


Collectors uses e-Verify to validate your ability to work legally in the United States.


We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to people@collectors.com.


We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.


If you require an accommodation to apply or interview with us due to a disability or special need, please email people@collectors.com.


U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.


If you are based in California, you can read information for California residents here.