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Entry Level Ai Labeling Jobs (NOW HIRING)

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Data Protection Sr. Analyst

Austin, TX · Hybrid

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Data Protection Sr. Analyst

Boston, MA · Hybrid

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Data Protection Sr. Analyst

Tampa, FL · Hybrid

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

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Entry Level Ai Labeling information

What are some common challenges faced in an entry-level AI labeling role and how can I overcome them?

One common challenge in entry-level AI labeling is maintaining consistency and accuracy while working with large volumes of data, especially when guidelines are complex or ambiguous. To overcome this, it's important to carefully review labeling instructions, ask clarifying questions when in doubt, and use any provided tools or resources to double-check your work. Time management can also be challenging, as the role may require meeting daily or weekly quotas. Collaborating with team members and participating in regular feedback sessions can help improve your efficiency and understanding of the labeling criteria.

What are the key skills and qualifications needed to thrive as an Entry Level AI Labeler, and why are they important?

To thrive as an Entry Level AI Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow instructions accurately, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet or database systems is typically required. Reliability, consistency, and effective communication are valuable soft skills that help maintain quality and efficiency. These skills ensure that labeled data is accurate and consistent, which is critical for training reliable AI models.

What is the difference between Entry Level Ai Labeling vs Data Annotation Specialist?

AspectEntry Level Ai LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or on-site; repetitive tasksRemote or on-site; similar repetitive tasks
Industry UsageAI and machine learning companiesData-driven companies across industries
Search/Comparison IntentUnderstanding entry-level roles in AI data labelingComparing roles in data annotation

Entry Level Ai Labeling and Data Annotation Specialist roles both involve labeling data for AI models, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' is a broader term used across industries, while 'Entry Level Ai Labeling' emphasizes the beginner level in AI-specific data tasks. Both roles are suitable for individuals seeking entry points into AI and data industries.

What is entry level AI labeling?

Entry level AI labeling refers to the process of manually tagging or annotating data, such as images, videos, or text, to train artificial intelligence models. This job involves identifying and marking specific objects, features, or phrases according to given guidelines, which helps AI systems learn to recognize patterns and make accurate predictions. It is often considered an accessible position that requires attention to detail rather than advanced technical skills, making it suitable for individuals new to the AI or tech industry.
More about Entry Level Ai Labeling jobs
What cities are hiring for Entry Level Ai Labeling jobs? Cities with the most Entry Level Ai Labeling job openings:
What are the most commonly searched types of Ai Labeling jobs? The most popular types of Ai Labeling jobs are:
What states have the most Entry Level Ai Labeling jobs? States with the most job openings for Entry Level Ai Labeling jobs include:
What job categories do people searching Entry Level Ai Labeling jobs look for? The top searched job categories for Entry Level Ai Labeling jobs are:
Infographic showing various Entry Level Ai Labeling job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 3% As Needed, 74% Full Time, 12% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Protection Sr. Analyst

Data Protection Sr. Analyst

Accenture

New York, NY • Hybrid

$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services


Job description

This is a hybrid role that may be based near any listed location and requires travel to client sites.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members to help design, implement, and operate data protection capabilities while building strong foundational skills in security, compliance, and client delivery.

What you'll do
  • Support client engagements focused on data protection, data governance, and compliance initiatives.

  • Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).

  • Participate in requirements gathering, workshops, and documentation efforts.

  • Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.

  • Develop technical documentation, configuration guides, and client-ready deliverables.

  • Actively pursue learning, certifications, and hands-on experience in data protection technologies.

  • Contribute to emerging areas such as AI and agentic AI security, under guidance.

.

Qualifications
  • 2+ years of relevant experience.

  • Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent experience).

  • Exposure to Microsoft 365 or Azure environments preferred.

  • Prior internship, academic project, or entry-level experience in security or compliance is a plus.

  • Microsoft security-related certifications strongly preferred (e.g., SC-900, AB-900, AI-901).

What you'll bring
  • Developing knowledge of Microsoft Purview (Information Protection, DLP, and data governance).

  • Microsoft 365 security and compliance fundamentals.

  • Familiarity with Copilot/AI data risk considerations and emerging security controls.

  • Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level).

  • PowerShell scripting or automation exposure is a plus.

  • Strong curiosity and willingness to learn; able to take direction and incorporate feedback.

  • Clear written and verbal communication skills with attention to detail and quality.

  • Adaptability and flexibility in a fast-paced consulting environment.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 5/1/2026 and open for at least 10 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here: U.S. Employee Benefits | Avanade

Role Location Annual Salary Range

California$84,800 to $100,700

Cleveland $69,091 to $82,046

Colorado$69,091 to $82,046

District of Columbia $88,000 to $104,500

Illinois$84,800 to $100,700

Maryland $88,000 to $104,500

Massachusetts $88,000 to $104,500

Minnesota $84,800 to $100,700

New York $92,800 to $110,200

New Jersey $84,800 to $100,700

Washington $88,000 to $104,500

.


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