2

Remote Data Annotation Analyst Jobs (NOW HIRING)

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

next page

Showing results 1-20

Remote Data Annotation Analyst information

See salary details

$34K

$82.6K

$136K

How much do remote data annotation analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
More about Remote Data Annotation Analyst jobs
What cities are hiring for Remote Data Annotation Analyst jobs? Cities with the most Remote Data Annotation Analyst job openings:
What are the most commonly searched types of Data Annotation Analyst jobs? The most popular types of Data Annotation Analyst jobs are:
What states have the most Remote Data Annotation Analyst jobs? States with the most job openings for Remote Data Annotation Analyst jobs include:
Infographic showing various Remote Data Annotation Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
French Search & Data Labelling Rater - Project Andromeda Titawin

French Search & Data Labelling Rater - Project Andromeda Titawin

Welocalize

Remote

Other

This job post has expired today. Applications are no longer accepted.


Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

358th of 449 rated business services


Job description

Search & Data Labeling Rater

We are looking for detail-oriented Search & Data Labeling Raters to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types and relevant attributes within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation
  • Job Type: Freelance contract
  • Pay Rate: $5.50 USD/hour
  • Location: Remote
  • Language: French Fluency

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!


What Welocalize employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom