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Home Based Data Annotation Jobs (NOW HIRING)

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ... Able to make judgement calls based on a set of criteria * Able to manage time effectively with ...

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ... Able to make judgement calls based on a set of criteria * Able to manage time effectively with ...

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Home Based Data Annotation information

Can I do data annotation with no experience?

Home Based Data Annotation jobs often do not require prior experience, as training is typically provided. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Familiarity with annotation tools can be helpful but is not always mandatory.

Is it hard to get hired for data annotation?

Home Based Data Annotation jobs typically have moderate competition, and hiring depends on the applicant's attention to detail, accuracy, and ability to follow guidelines. Many positions require basic computer skills and sometimes prior experience with annotation tools, but they often do not demand formal certifications. Candidates who demonstrate reliability and precision have good chances of being hired.

Is data annotation a legitimate job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and basic computer skills, and many companies offer remote, flexible positions. However, job seekers should be cautious of scams and verify the legitimacy of employers before applying.

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

How to make 2000 a week working from home?

Home Based Data Annotation jobs typically pay per task or project, and earning $2000 weekly requires completing a high volume of accurately labeled data, often involving skills in image, text, or audio annotation. To reach this income level, consistent work, efficiency, and experience are essential, and some roles may offer bonuses or higher rates for specialized tasks or faster turnaround times.
More about Home Based Data Annotation jobs
What cities are hiring for Home Based Data Annotation jobs? Cities with the most Home Based Data Annotation job openings:
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
What states have the most Home Based Data Annotation jobs? States with the most job openings for Home Based Data Annotation jobs include:

Data Annotation Specialist (Contractor)

Collectorsuniverse

Santa Ana, CA โ€ข Hybrid

$25 - $30/hr

Full-time

Re-posted 9 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.