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Part Time Remote Data Labelling Jobs in Atlanta, GA

Revvity

Sr. Tax Manager (REMOTE)

Atlanta, GA · On-site +1

$134K - $167K/yr

Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ... Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your ...

F2Onsite

Be Seen First

IT Project Manager - Part Time - 20 hrs

Atlanta, GA · Remote

$50 - $55/hr

IT Project Manager-Part-Time 20 hours per week-Remote * Timeframe - July 2026-February 2027 ... migrate data, install computers, move printers, install/fix servers and POS systems. We close ...

New

Clera

B2C Marketing (part-time) Intern

Atlanta, GA · Remote

$15.25 - $20.50/hr

Use data to identify what's working and double down on winning channels What we offer * Flexible remote work from anywhere in the US * Direct mentorship from the founding team * Real ownership and ...

micro1 AI

Commercial Counsel

Atlanta, GA · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Delaware North

Franchise Marketing Analyst

Atlanta, GA · Remote

$62K - $76K/yr

Location in Buffalo, NY is preferred, however, we may consider remote candidates. Pay Minimum ... Familiarity with Marriott and IHG commercial marketing tools and data environments Shift details M ...

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All JobsPart Time Remote Data Labelling JobsPart Time Remote Data Labelling Jobs in Atlanta, GA

Part Time Remote Data Labelling information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do part time remote data labelling jobs pay per year?

As of Jun 20, 2026, the average yearly pay for part time remote data labelling in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Labelling specialist, and why are they important?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are some common challenges faced by part-time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.
What are the most commonly searched types of Remote Data Labelling jobs in Atlanta, GA? The most popular types of Remote Data Labelling jobs in Atlanta, GA are:
What are popular job titles related to Part Time Remote Data Labelling jobs in Atlanta, GA? For Part Time Remote Data Labelling jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Labelling jobs in Atlanta, GA look for? The top searched job categories for Part Time Remote Data Labelling jobs in Atlanta, GA are:
Part Time Remote Data Labelling jobs near you
Infographic showing various Part Time Remote Data Labelling job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% As Needed, 3% Full Time, 91% Part Time, 1% Temporary, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $158,691 per year, or $76.3 per hour.

Work From Home - Part-Time Client Services Representative

AO Garcia Agency

Suwanee, GA • On-site, Remote

Part-time

Posted 8 days ago

Job description

What could an extra $1,000-$2,000 each month do for your household? Qualified candidates are wanted for the chance to enter financial services on a part-time basis while working fully remotely. This means that you get all the earning potential of a trillion-dollar industry without having to give up the security of your current position. Pay off your house early, take the vacations your family deserves, or save for early retirement. 20 hours per week, from home, is all it takes to learn a new skill that could change everything?
Through providing personalized benefits solutions, you'll be the architect of your client's security tomorrow. In this role, you can expect to:
• Converse virtually with clients, weaving financial strategies that empower.
• Cultivate client bonds that stand the test of time.
• Ride the crest of industry trends, fortifying your knowledge.
• Work alongside a dynamic remote team, where collaboration is the heartbeat of success.
Perks Include:
• Work virtually, from anywhere
• Comprehensive training provided
• A fun, energetic, and positive team environment
• Rapid career growth and advancement opportunities
• Weekly pay
• Residual Income
Responsibilities:
• Calling and receiving calls from clients
• Scheduling appointments with clients who request our benefits
• Presenting and explaining insurance products and benefits packages virtually
• Completing applications for insurance products
• Attending ongoing, optional training sessions
*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.

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