ZipRecruiter

Log In

1

Data Annotation Jobs in Denver, NC (NOW HIRING)

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal candidate will have strong experience in AI/ML data labeling, QA, and evaluation across NLP ...

New

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$65.05/hr

Collaborate with data science and platform teams to deploy scalable AI solutions. * Annotate and label datasets to support training, evaluation, and alignment workflows across NLP and retrieval tasks.

New

next page

Showing results 1-20

People also search for

All JobsData Annotation JobsData Annotation Jobs in Denver, NC

Data Annotation information

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It typically requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. The job is often part-time or freelance, with varying pay rates depending on complexity and volume of work.
More about Data Annotation jobs
What cities near Denver, NC are hiring for Data Annotation jobs? Cities near Denver, NC with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Denver, NC as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

AI Data Annotation Specialist

BC Forward

Charlotte, NC • On-site

$56.08/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Application Programmer III

Location: Charlotte, NC

Duration: Contract - 12 months

Pay Range: $56.08/hr (W2)

Job ID: 373918

About BCforward

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal candidate will have strong experience in AI/ML data labeling, QA, and evaluation across NLP, information retrieval, entity extraction, routing/classification, semantic search, and RAG/LLM applications, and a proven ability to deliver accurate, consistent annotations and evaluation datasets at scale.

Responsibilities:

  • Annotate and label large datasets for AI/ML training and evaluation tasks across text, tabular, and retrieval workflows.
  • Create labels for query classification, intent detection, entity and time extraction, metric identification, semantic similarity, relevance ranking, and document retrieval quality.
  • Tag and classify user queries, documents, entities, metadata, tool routing, structured vs. unstructured query type, human preference, and LLM response quality.
  • Perform QA reviews to ensure consistency, accuracy, completeness, and adherence to acceptance criteria; escalate ambiguities and edge cases.
  • Participate in inter-annotator agreement, calibration sessions, and feedback loops to refine dataset quality.
  • Assist in building evaluation datasets, benchmark suites, and golden sets for classifiers, retrieval systems, and LLM generation quality.
  • Review AI outputs, provide structured scoring and feedback, and help identify failure modes, hallucinations, routing issues, and retrieval gaps.
  • Follow detailed annotation specifications and operational procedures; document decisions, edge cases, and standards.
  • Support taxonomy and schema refinement; organize datasets, metadata, and labeling workflows across tools and platforms.
  • Work effectively within Agile development practices and collaborate with data science, ML engineering, and platform teams.

Required Skills & Qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Experience with data annotation, data labeling, QA, research operations, or analytical workflows.
  • Ability to follow complex technical instructions and detailed labeling guidelines with high accuracy.
  • Strong attention to detail, organizational skills, and written communication.
  • Comfort with large datasets, structured processes, spreadsheets, and labeling interfaces.
  • Ability to work independently, manage priorities, and meet deadlines in a fast-paced environment.

Preferred Skills:

  • Familiarity with RAG, LLM evaluation, semantic search, and information retrieval concepts.
  • Experience working in Agile/Scrum settings and collaborating with ML engineering teams.

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

  • Competitive compensation and benefits.
  • Opportunities for growth with global clients.
  • A supportive, inclusive culture that values innovation and people.
  • Exposure to cutting-edge technologies and projects.

About Our Commitment

BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume.