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Night Data Annotation Tech Jobs (NOW HIRING)

BC Forward

AI Data Annotation Specialist

Charlotte, NC

$56.08/hr

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... or technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

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Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and ... driving technologies. The quality and accuracy of annotated data are foundational to the ...

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Night Data Annotation Tech information

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How much do night data annotation tech jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for night data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by Night Data Annotation Techs and how can they be addressed?

Night Data Annotation Techs often work independently during off-peak hours, which can present challenges such as staying alert and maintaining focus during late shifts. Managing fatigue and ensuring consistent quality in data annotation tasks are key concerns. To address these challenges, it's helpful to establish a structured routine, take scheduled breaks, and maintain clear communication with team members through collaboration tools. Many companies also provide support resources and regularly scheduled check-ins to help night staff stay connected and aligned with project goals.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary depending on experience, location, and the complexity of tasks. Entry-level roles may pay around minimum wage, while more experienced annotators or those working on specialized projects can earn higher rates, often supplemented by flexible schedules and remote work options.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Night Data Annotation Tech roles typically involve reviewing and labeling data accurately using specialized tools, and the work is legitimate employment in the tech industry.

What is the difference between Night Data Annotation Tech vs Data Labeling Specialist?

AspectNight Data Annotation TechData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; basic technical skillsHigh school diploma or higher; attention to detail
Work EnvironmentNight shifts, often in a tech or data center settingDay or night shifts, in office or remote
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Common Search/ComparisonNight Data Annotation Tech vs Data Labeling Specialist

The Night Data Annotation Tech and Data Labeling Specialist roles both involve preparing data for AI systems, but the Night Data Annotation Tech typically works during night shifts with a focus on annotation tasks in a tech environment. The Data Labeling Specialist may work flexible hours and often handles broader data labeling responsibilities. Both roles require attention to detail and familiarity with data annotation tools, but the Night Data Annotation Tech is more specialized for overnight operations in tech companies.

How hard is it to get a job with data annotation tech?

Getting a job as a data annotation technician typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making them accessible to a wide range of applicants, though competition can vary based on demand and location.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies continue to develop AI and machine learning models. These positions often require attention to detail, familiarity with annotation tools, and the ability to work flexible schedules. Hiring trends can vary by company and region, but overall, the field remains active with ongoing opportunities.

What are Night Data Annotation Techs?

Night Data Annotation Techs are professionals who work overnight shifts to label and categorize data for machine learning and artificial intelligence systems. Their work involves identifying, tagging, and organizing data such as images, text, or audio to help train algorithms. By working during the night, they help ensure that data processing and model training can continue around the clock, supporting faster development cycles for AI projects. This role requires attention to detail, strong computer skills, and the ability to follow specific guidelines for accurate data labeling.

What are the key skills and qualifications needed to thrive as a Night Data Annotation Tech, and why are they important?

To thrive as a Night Data Annotation Tech, you need strong attention to detail, proficiency in data labeling, and a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or internal annotation platforms is often required. Strong organizational skills, self-motivation, and the ability to work independently during night shifts set top performers apart. These skills ensure accuracy and efficiency in preparing high-quality data that powers machine learning models.
More about Night Data Annotation Tech jobs
What cities are hiring for Night Data Annotation Tech jobs? Cities with the most Night Data Annotation Tech job openings:
What are the most commonly searched types of Data Annotation Tech jobs? The most popular types of Data Annotation Tech jobs are:
What states have the most Night Data Annotation Tech jobs? States with the most job openings for Night Data Annotation Tech jobs include:
What job categories do people searching Night Data Annotation Tech jobs look for? The top searched job categories for Night Data Annotation Tech jobs are:
Night Data Annotation Tech jobs near you
Infographic showing various Night Data Annotation Tech job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 71% Full Time, 17% Part Time, and 9% Contract. Highlights an 100% Physical job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

AI Data Annotation Specialist

BC Forward

Charlotte, NC

$56.08/hr

Other

Posted 24 days ago

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.

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