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Part Time Ai Data Annotation Jobs in Virginia (NOW HIRING)

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

... AI or NLP * Experience with translating complex data into a compelling narrative that informs and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Scientist

Stafford, VA · On-site

$77K - $176K/yr

... AI, or NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

... AI and ML techniques, including NLP * Experience developing predictive data models, quantitative ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

Bachelor's degree Nice If You Have: * 2+ years of experience with Machine Learning, AI, or NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

Bachelor's degree Nice If You Have: * 2+ years of experience with Machine Learning, AI or NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · Hybrid

$77K - $176K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site

$69K - $158K/yr

Your deep AI and analytics expertise and advisory mindset, coupled with an original approach to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Ai Data Annotation information

How much do AI data annotators make?

AI data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are freelance or part-time, often requiring basic computer skills and attention to detail.

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good reading comprehension, and basic computer skills. Many roles require no formal degree, but familiarity with annotation tools and understanding of data labeling standards are helpful. Some employers may prefer candidates with experience in machine learning or related fields, and the work often involves flexible, part-time schedules.

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

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What is a Part Time AI Data Annotation job?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.

Is it hard to get hired for data annotation?

Getting hired for a part-time AI data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering flexible schedules and minimal formal requirements, making it accessible for beginners.

How can I make $2000 a week working from home?

Part Time AI Data Annotation jobs can contribute to earning income from home, but making $2000 weekly typically requires working multiple hours or combining several projects. Success depends on the pay rate per annotation, efficiency, and available workload, with some annotators earning higher rates through specialized skills or platforms that pay per task. Consistent effort, quality work, and familiarity with annotation tools can help increase earnings, but reaching $2000 weekly may be challenging on a part-time basis alone.
What are the most commonly searched types of Ai Data Annotation jobs in Virginia? The most popular types of Ai Data Annotation jobs in Virginia are:
What are popular job titles related to Part Time Ai Data Annotation jobs in Virginia? For Part Time Ai Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Annotation jobs in Virginia look for? The top searched job categories for Part Time Ai Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Part Time Ai Data Annotation jobs? Cities in Virginia with the most Part Time Ai Data Annotation job openings:
AI/ML Engineer and Data Scientist

AI/ML Engineer and Data Scientist

Booz Allen Hamilton, Inc.

Fort Belvoir, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 23 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


Remote Work:
No
Job Number:
R0241401
Location:
Fort Belvoir,VA,US
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AI/ML Engineer and Data Scientist
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience with statistical and general-purpose programming languages for data analysis
  • 3+ years of experience analyzing structured and unstructured data sources
  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
  • Experience with natural language processing, text mining, or machine learning techniques
  • Experience with REST APIs, webhooks, and automation middleware
  • Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms
  • Knowledge of AI and ML workflows leveraging existing AI and ML tools
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL
  • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $99,000.00 to $225,000.00 (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

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