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Part Time Data Labelling Jobs (NOW HIRING)

NEW YORK EDGE, INC

Data Entry Specialist Bronx

Bronx, NY · On-site

$20 - $25/hr

Schedule: * Part-Time * Up to 20 hours per week while school is in session * Up to 25 hours per ... Entering the schedule and labeling activities into required databases * Set up class rosters and ...

Columbia University

Research Coordinator

New York, NY · On-site

$52K - $65K/yr

Hunt Lab is seeking a part-time scientific Research Coordinator position for a project focused on ... Ensure proper versioning and data labeling for easy accessibility. * Assist project staff in ...

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Part Time Data Labelling information

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$46K

$165K

$243.5K

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

As of Jun 21, 2026, the average yearly pay for part time data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Data Labelling Specialist, you need a keen attention to detail, basic data management skills, and familiarity with data annotation concepts, usually supported by a high school diploma or equivalent. Experience with data labeling platforms, annotation tools, and sometimes spreadsheet software like Excel or Google Sheets is often required. Strong focus, reliability, and the ability to follow detailed instructions make someone stand out in this role. These skills are crucial to ensure the accuracy and consistency of labeled data, which directly impacts the effectiveness of machine learning models.

What does a typical workday look like for someone in a part-time data labelling role?

As a part-time data labeller, your daily tasks generally involve reviewing and tagging data such as images, videos, or text according to specific guidelines provided by the employer. You'll often work independently, but may participate in virtual meetings or communicate with project leads to clarify instructions. Accuracy and attention to detail are crucial, as your work directly impacts the quality of machine learning models. The role is usually remote or office-based with flexible hours, making it suitable for students or those seeking supplementary income.

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

AspectPart Time Data LabellingPart Time Data Annotation
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, flexible hoursRemote or office-based, flexible hours
Industry UsageUsed across AI, machine learning, and data science projectsUsed across AI, machine learning, and data science projects

Both roles involve labeling data to train AI models, often with similar skills and work settings. Data labelling typically focuses on categorizing data, while data annotation may include more detailed tasks like adding metadata or annotations. The roles are often interchangeable depending on project needs, but both are essential in AI development.

What is part time data labelling?

Part time data labelling involves reviewing and annotating data—such as images, text, or audio—for use in machine learning and artificial intelligence projects. Data labellers help by identifying and tagging specific elements in datasets so that algorithms can learn to recognize patterns. This work is usually done remotely, offers flexible hours, and requires attention to detail and accuracy. It is a popular entry-level position for those interested in AI, technology, or remote work opportunities.
More about Part Time Data Labelling jobs
What are the most commonly searched types of Data Labelling jobs? The most popular types of Data Labelling jobs are:
What job categories do people searching Part Time Data Labelling jobs look for? The top searched job categories for Part Time Data Labelling jobs are:
Part Time Data Labelling jobs near you
Infographic showing various Part Time Data Labelling job openings in the United States as of June 2026, with employment types broken down into 78% Part Time, and 22% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Security Engineer-Fort Meade,Maryland

Data Security Engineer-Fort Meade,Maryland

BOOZ, ALLEN & HAMILTON, INC.

Aspen Hill, MD

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 2 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Data Security Engineer
The Opportunity:
Architect, deploy, and configure data security solutions across various clients for DoD, IC, and civilian federal clients. Create new architectures to meet client requirements adhering to Zero T rus t best practices and IC data header guidelines. Interface with key stakeholders, including agency personnel and internal delivery and engineering teams. Assist in building custom policy to ensure positive control of data across hybrid cloud environments.
You Have:
  • 3+ years of experience designing, deploying, and configuring data security solutions
  • Experience with Data Security Posture Management ( DSPM ) tools such as Varonis or BigID
  • Experience with Data Loss Prevention ( DLP ) tools such as Forcepoint, Trellix, or Symantec
  • Experience with data labeling and tagging solutions such as Purview, Fortra, or Titus
  • Experience documenting and diagraming technical architectures
  • Secret clearance
  • HS diploma or GED

Nice If You Have:
  • Experience working in federal, DoD, or IC agency environments
  • Experience managing and maintaining containerization solutions
  • Knowledge of federal information security policies , standards, procedures, directives, frameworks, federal security authorizations, assessment, and risk management processes for enterprise systems
  • Knowledge of T rus ted Data Format ( TDF ) and Attribute Based Access Control ( ABAC )
  • Knowledge of Virtru Data Security Platform ( DSP ) and Keycloak
  • Top Secret clearance
  • Bachelor's degree in an IT, Cybersecurity, or Engineering field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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