ZipRecruiter

Log In

2

Part Time Data Labeling Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Analyst, Mid

San Antonio, TX · On-site

$61K - $141K/yr

Experience with data governance including cataloging, lineage, and sensitivity labels * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

NEW YORK EDGE, INC

Data Entry Specialist

Brooklyn, 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 ...

NEW YORK EDGE, INC

Data Entry Specialist - Queens

Hollis, 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 ...

Apply Early

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 ...

next page

Showing results 1-20

All JobsPart Time Data Labeling Jobs

Part Time Data Labeling information

What are part time data labeling jobs?

Part time data labeling jobs involve annotating or tagging data—such as images, audio, text, or video—which is then used to train machine learning models. These roles typically require you to review data and apply labels or classifications based on specific guidelines. The work is often flexible, can be done remotely, and usually does not require advanced technical skills. Data labelers play a crucial role in ensuring AI systems learn from accurate, high-quality data. Tasks may include identifying objects in images, transcribing audio, or categorizing text.

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

AspectPart Time Data LabelingPart Time Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or flexible, often freelanceRemote or flexible, often freelance
Industry UsageCommon in AI/ML projects for image, text, audio dataUsed interchangeably with data labeling, often in similar contexts

Part Time Data Labeling and Part Time Data Annotation are often used interchangeably, focusing on preparing data for machine learning models. Both roles require similar skills and work environments, primarily involving labeling or annotating data such as images, text, or audio. The main difference is terminology preference, but they serve the same purpose in AI data preparation processes.

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

To thrive as a Part Time Data Labeling Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines or protocols. Familiarity with data annotation tools, spreadsheet software, and platforms like Labelbox or Amazon SageMaker Ground Truth is often required. Reliability, consistency, and effective communication are valuable soft skills for ensuring high-quality, accurate work. These skills are essential because precise data labeling is foundational to training effective machine learning models and ensuring project success.

What are the typical challenges faced by part-time data labelers, and how can they be managed?

Part-time data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring accuracy while labeling large volumes of data, and adapting to evolving project guidelines. To manage these, it's helpful to take regular breaks to reduce fatigue, double-check work for consistency, and stay updated on any changes in labeling instructions. Collaboration with team leads or participating in team discussions can also clarify doubts and improve the overall quality of the work.
More about Part Time Data Labeling jobs
What cities are hiring for Part Time Data Labeling jobs? Cities with the most Part Time Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What job categories do people searching Part Time Data Labeling jobs look for? The top searched job categories for Part Time Data Labeling jobs are:
Part Time Data Labeling jobs near you
Infographic showing various Part Time Data Labeling job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Data Analyst, Mid

Data Analyst, Mid

Booz Allen Hamilton, Inc.

San Antonio, TX • On-site

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 6 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 58 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0242987
Location:
San Antonio,TX,US
Share job via:
Share
Data Analyst, Mid
The Opportunity:
As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to bring modern analytics to mission programs by transforming raw data into clear, decision-ready insights. You'll design and build Power BI solutions, author performant SQL against Oracle and SQL Server sources, and improve data quality and trust through profiling, validation, and reconciliation.
What You'll Work On:
  • Partner with mission stakeholders to elicit analytic requirements and define measures, KPIs, and data products.
  • Develop Power BI datasets, models, and reports including DAX measures, Power Query, and RLS and publish to Power Platform or Power BI Service.
  • Author and optimize SQL including Oracle, PL, SQL and SQL Server or T-SQL for data extraction, transformation, and aggregation.
  • Validate joins, cardinality, and lineage.
  • Perform data quality assessment such as profiling, completeness, accuracy checks, duplicate detection, referential integrity, and anomaly detection.
  • Implement visualization best practices such as layout, color, and accessibility to deliver intuitive data visualizations and self-service dashboards.
  • Document solutions, data dictionaries, and business rules.
  • Contribute to reusable patterns and governance.
  • Collaborate with engineering teams to productionize datasets and assist with refresh schedules, gateway configuration, and performance tuning.

Join us. The world can't wait.
You Have:
  • 3+ years of experience in data analytics or business intelligence
  • Experience with Power BI including Power Query, M, DAX, semantic model design, and row-level security
  • Experience delivering data visualizations and dashboards following best practices
  • Experience with data quality assessment including profiling, validation, and reconciliation
  • Ability to translate business questions into metrics and analytic solutions
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with Power Platform components such as Power Automate and Power Apps for workflow and data capture
  • Experience with Python or R for data wrangling and quality checks
  • Experience with APIs
  • Experience with data governance including cataloging, lineage, and sensitivity labels
  • Experience with defense mission programs and agile delivery
  • Possession of strong SQL skills with Oracle or SQL Server including views, stored procedures, and performance tuning
  • Possession of strong communication skills
  • Bachelor's degree in STEM
  • Power BI Certification

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 $61,900.00 to $141,000.00 (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.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

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

View All Booz Allen Hamilton Jobs

Apply