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Entry Level Ai Data Labeling Jobs in Arizona (NOW HIRING)

Accenture

Data Protection Sr. Analyst

Phoenix, AZ · 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Phoenix, AZ

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Develop and deploy AI/ML models that power key products such as: * Procedure Appropriateness ... Explore entity extraction, rule-based labeling, embedding-based features, etc. Visualizations ...

Harnham

Recruiter - Entry Level

Phoenix, AZ

$45K - $55K/yr

Entry Level Recruiter / Candidate Resourcer Onsite in Phoenix (Office Located Near the Biltmore ... Data, Analytics & AI recruitment for more than 18 years. Since starting in London in 2006, we've ...

New

SynergisticIT

Data Engineer - Remote

Chandler, AZ

$116K - $140K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools ...

Leapros Skilled Trades

Data Center Technician

Mesa, AZ · On-site

$21 - $28/hr

We are seeking entry-level to lead-level technicians who are flexible with high-volume overtime ... Visual acuity to distinguish cable colors and read small print on labels. Pay Transparency: The ...

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

This entry-level position plays a critical role in supporting the design, development, and ... Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training ...

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Entry Level Ai Data Labeling information

What are some common challenges faced by entry-level AI data labelers, and how can they be addressed?

Entry-level AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy under tight deadlines, and understanding complex labeling guidelines. To address these, it's important to take regular breaks to avoid fatigue, seek clarification from team leads when instructions are unclear, and leverage training resources provided by the company. Collaborating with peers and utilizing feedback can also improve efficiency and accuracy, making the role both manageable and rewarding for those starting their careers in AI.

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

AspectEntry Level Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification, but some roles prefer training in data management
Work EnvironmentRemote or on-site, flexible hours, task-basedRemote or on-site, similar flexible environment
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries
Search/Comparison IntentHigh overlap, both involve labeling data for AI

Entry Level Ai Data Labeling and Data Annotation Specialist roles both involve labeling data to train AI models. While they share similar credentials and work environments, the term "Data Annotation Specialist" is often used interchangeably but may imply a broader scope or more specialized tasks. Both roles are essential in AI development and typically require minimal formal education, focusing on accuracy and attention to detail.

What is entry level AI data labeling?

Entry level AI data labeling involves tagging, categorizing, or annotating data such as images, text, audio, or video to help train artificial intelligence models. Data labelers follow specific guidelines to ensure the data is accurately marked, which is essential for machine learning algorithms to learn and make predictions. This role usually requires attention to detail, basic computer skills, and the ability to follow instructions, but typically does not require advanced technical experience. Data labeling is foundational to the development of reliable AI systems.

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

To thrive as an Entry Level AI Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific instructions, typically with at least a high school diploma or equivalent. Familiarity with annotation tools, data labeling platforms, and sometimes spreadsheet software is commonly required. Reliability, focus, and effective communication are important soft skills that help ensure high-quality, consistent work. These skills and qualities are vital for producing accurate datasets that directly impact the performance and reliability of AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Arizona? The most popular types of Ai Data Labeling jobs in Arizona are:
What are popular job titles related to Entry Level Ai Data Labeling jobs in Arizona? For Entry Level Ai Data Labeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Labeling jobs in Arizona look for? The top searched job categories for Entry Level Ai Data Labeling jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Ai Data Labeling jobs? Cities in Arizona with the most Entry Level Ai Data Labeling job openings:
Entry Level Ai Data Labeling jobs near you
Data Protection Sr. Analyst

Data Protection Sr. Analyst

Accenture

Phoenix, AZ • Hybrid

$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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 427 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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