ZipRecruiter

Log In

2

Remote Data Annotation Analyst Jobs (NOW HIRING)

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ...

The Mark

Remote Data Analyst

California, MO · Remote

Remote Data Analyst Company Overview: The Themark is a leadingcompany based in California, USA. We specialize in providing best interior designsacross various real estate industries. Our team of ...

Mercor

Data Annotation Specialist - AI Lab

New York, NY · Remote

$50/hr

Remote Role Responsibilities * Review, evaluate, and annotate AI outputs with extreme attention to ... Experience with large-scale AI data annotation or evaluation programs. * Background in QA, ...

Alignerr

Data Security & DLP Analyst

Phoenix, AZ · Remote

$38 - $60/hr

Data Security & DLP Analyst $38-60/hr Remote Freelance CODING We partner with the world's leading ... Familiarity with AI training or data annotation workflows Why Join Us * Work directly on frontier ...

Alignerr

Data Scientist (Masters)

Dallas, TX · Remote

... analytical mind. * Organization : Alignerr * Type : Hourly Contract * Location : Remote ... No prior AI or data annotation experience required Nice to Have * Experience with data annotation ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Annotation Analyst Jobs

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 Jun 3, 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.

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.

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.

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:
What job categories do people searching Remote Data Annotation Analyst jobs look for? The top searched job categories for Remote Data Annotation Analyst jobs are:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Remote AI Finance Analyst & Treasurer

Remote AI Finance Analyst & Treasurer

DataAnnotation

Oregon, WI • On-site, Remote

$50 - $60/hr

Full-time

Posted 22 days ago

Job description

A data annotation company is seeking an Assistant Treasurer to evaluate AI chatbots and improve their performance. The role allows for flexible scheduling and remote work, requiring expertise in financial reasoning and analysis. This position offers competitive hourly pay between $50 and $60 USD, along with potential bonuses for high-quality work.

Candidates with a Master's or PhD are preferred but not mandatory. J-18808-Ljbffr

Apply