ZipRecruiter

Log In

2

Remote Data Annotation Analyst Jobs in Leeds, AL

Jitterbit

Assistant Controller - Remote

Birmingham, AL · On-site +1

$135K - $150K/yr

Company Description Jitterbit is a leading data, application, and process workflow automation ... Collaborate with FP&A and other cross-functional departments to ensure completeness of accruals

Deloitte

Hospital Billing Operator

Birmingham, AL · Remote

$17 - $22/hr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

DataAnnotation

FP&A Manager - AI Trainer

Birmingham, AL · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

next page

Showing results 1-20

All JobsData Annotation Analyst JobsRemote Data Annotation Analyst JobsRemote Data Annotation Analyst Jobs in Leeds, AL

Remote Data Annotation Analyst information

See Leeds, AL salary details

$31K

$75.4K

$124K

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

As of Jul 16, 2026, the average yearly pay for remote data annotation analyst in Leeds, AL is $75,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,500.00 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.
What cities near Leeds, AL are hiring for Remote Data Annotation Analyst jobs? Cities near Leeds, AL with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you

Remote Opportunity - Take Back Control of Your Time

AO Garcia Agency

Birmingham, AL • Remote

Other

Posted 20 days ago

Job description

If you're driven but stuck in a system that rewards time instead of performance, it's time to rethink things.

This opportunity is for individuals who want to take ownership of their income and growth.

You'll be working with clients who have already shown interest-your job is to guide, educate, and help them move forward.

What Sets This Apart

  • No cold outreach
  • No income ceiling
  • Remote work
  • Clear path to leadership

Who This is For

  • Competitive individuals
  • Self-starters
  • People willing to be coached

Not For
Those looking for guaranteed hourly pay or minimal effort.

 
 
*All interviews will be conducted via Zoom video conferencing.
(Global Elite Empire Consultants is a third-party recruiter, not an insurance agency)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply