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Artificial Intelligence Data Annotation Jobs (NOW HIRING)

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

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Artificial Intelligence Data Annotation information

See salary details

$24.5K

$97.6K

$189.5K

How much do artificial intelligence data annotation jobs pay per year?

As of Jun 14, 2026, the average yearly pay for artificial intelligence data annotation in the United States is $97,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Data Annotation position, and why are they important?

To thrive as an Artificial Intelligence Data Annotation specialist, you need strong attention to detail, proficiency in data labeling, and a basic understanding of machine learning concepts, often supported by a high school diploma or higher. Familiarity with annotation platforms (such as Labelbox or CVAT), spreadsheet software, and sometimes knowledge of programming basics or data formats (like CSV or JSON) is beneficial. Strong communication skills, consistency, and the ability to work both independently and collaboratively are key soft skills for this role. These competencies ensure high-quality, accurate datasets that are critical for training reliable AI models.

What are the typical daily responsibilities of someone working in Artificial Intelligence Data Annotation?

Daily responsibilities for an Artificial Intelligence Data Annotation professional typically include reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them according to project guidelines. You may also participate in quality assurance checks, provide feedback to improve annotation processes, and collaborate with data scientists or project managers to clarify labeling standards. Most annotation work requires maintaining strict attention to detail and meeting production quotas or deadlines. Work is often structured individually but may involve collaboration within a larger team, especially when aligning on new guidelines or best practices. This structured, detail-oriented environment supports the development of high-quality training data for AI systems.

What is an Artificial Intelligence Data Annotation job?

An Artificial Intelligence Data Annotation job involves labeling, tagging, or categorizing data such as text, images, audio, or video to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include bounding box annotation, sentiment analysis, transcription, or entity recognition, depending on the AI application. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing. Attention to detail and familiarity with annotation tools are key skills for this job.

More about Artificial Intelligence Data Annotation jobs
What cities are hiring for Artificial Intelligence Data Annotation jobs? Cities with the most Artificial Intelligence Data Annotation job openings:
What are the most commonly searched types of Artificial Intelligence Data Annotation jobs? The most popular types of Artificial Intelligence Data Annotation jobs are:
What states have the most Artificial Intelligence Data Annotation jobs? States with the most job openings for Artificial Intelligence Data Annotation jobs include:
What job categories do people searching Artificial Intelligence Data Annotation jobs look for? The top searched job categories for Artificial Intelligence Data Annotation jobs are:
Infographic showing various Artificial Intelligence Data Annotation job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,552 per year, or $46.9 per hour.
Director Artificial Intelligence & Data Science

Director Artificial Intelligence & Data Science

Alliant Credit Union

Chicago, IL • On-site, Remote

$167K - $287K/yr

Full-time, Part-time

Posted 2 days ago


Job description

Responsible enterprise leader for defining and executing the organization’s AI, advanced analytics, and data science strategy. Bridges business strategy, advanced analytics, and AI platform enablement to deliver measurable business outcomes, optimize decision-making, and drive responsible AI adoption at scale. Lead cross-functional teams to design, build, and operationalize advanced analytics models and enterprise AI platforms while ensuring alignment with regulatory requirements, governance standards, and ethical AI principles. Foster a data-driven culture and position the organization to maximize value from AI and analytics investments.

Essential Responsibilities

  • Define and execute the enterprise strategy for AI enablement, data science, and advanced analytics.
  • Translate business priorities into scalable AI, analytics, and platform roadmaps with clear outcomes.
  • Lead the design, implementation, and optimization of enterprise AI platforms, including MLOps/LLMOps capabilities.
  • Own the “Industrial” Use Case portfolio (i.e., large enterprise-grade AI use cases), including intake, prioritization, roadmap, execution, and value realization across enterprise AI and advanced analytics initiatives.
  • Lead decision science efforts spanning predictive modeling, optimization, experimentation, and decision strategy to improve business performance, risk outcomes, and operational efficiency.
  • Establish and scale reusable frameworks, standards, and tools to enable responsible AI adoption.
  • Deliver actionable insights and recommendations through data storytelling and visualization to influence decision-making.
  • Ensure compliance with Alliant’s governance, regulatory, legal, privacy, and ethical AI requirements across solutions.
  • Partner with technology, data, risk, and business leaders to align AI and analytics initiatives with enterprise goals.
  • Drive adoption and value realization of AI and analytics solutions across the organization.
  • Establish and track KPIs to measure platform performance, model effectiveness, and business impact.
  • Evaluate and manage AI technologies, tools, and vendor partnerships.
  • Foster a culture of innovation, continuous learning, and enterprise-wide data and AI maturity.
  • Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.

Education & Years of Experience

  • Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Preferred - Graduate Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Minimum - 10 Years of AI, data science, analytics, technology leadership role or related
  • Minimum - 5 Years of People Management

In Lieu of Education

  • 15 Years of AI, data science, analytics, technology leadership role including people management

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $167,700.00 to $287,500.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.