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Night Data Annotation Tech Jobs (NOW HIRING)

Arthur Lawrence

Data Annotator

Fremont, CA

Experience in autonomous vehicle data annotation, including LiDAR/Point Cloud and 2D image labeling ... Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Jackson, MS

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Chicago, IL

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

New Orleans, LA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Boise, ID

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Wichita, KS

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

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All JobsNight Data Annotation Tech Jobs

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.
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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 Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (US)

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (US)

Volga Partners

Remote

$10 - $14/hr

Contractor

PTO

Posted 11 days ago

Job description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?
We're looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you'll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency.
No engineering background required - if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.
This is a hands-on, production-based role where accuracy, focus, and consistency matter.
What You'll Do
  • Review AI-generated responses and rate them for clarity, correctness, and relevance.
  • Annotate and label content based on project-specific guidelines.
  • Follow detailed written instructions and apply them consistently.
  • Generate or evaluate prompts depending on assignment type.
  • Work with QA Leads to apply feedback and continuously improve task quality.
  • Report completed work daily and meet productivity and quality standards.

What Makes You a Strong Fit
  • You're detail-oriented and enjoy accuracy-based work.
  • You can follow instructions carefully and apply them consistently.
  • You're comfortable working independently with minimal supervision.
  • You have strong reading comprehension and critical thinking skills.
  • You communicate clearly and respond to feedback professionally.

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required - training and guidance is provided.
Schedule & Work Expectations
This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team:
Language
Shift Window (PST)
9:00 AM to 6:00 PM
  • Standard expectation: One consecutive 8-hour shift
  • Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule)
  • Only logged, approved hours are paid.

This project follows a no paid holidays / no paid time off model.
Location Restrictions
We are unable to accept applicants currently residing in:
Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela.
Why Join
• Work with a global team
• Entry point into the growing AI and language technology industry
• Exposure to real-world AI model training
• Skill development in annotation, QA/evaluation, and structured AI tasks
This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles.
Compensation Range
Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:
$10.00 USD to $14.00 USD per hour
Requirements
Assessment Requirement
All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards.
Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.
  • Fluency in Italian, with strong written and verbal communication skills.
  • Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.
  • Experience or interest in AI, Machine Learning, or data annotation preferred.
  • Strong attention to detail and ability to work with complex data sets.
  • Familiarity with translation and localization processes is an advantage.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Apply