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Night Data Annotation Tech Jobs (NOW HIRING)

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Prior experience in content moderation, data annotation, or policy enforcement roles. Technical ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/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 ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/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 ...

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Night Data Annotation Tech information

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$12

$22

$34

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

As of Jul 10, 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 can range from minimum wage to higher rates depending on experience and complexity of tasks. Many roles offer part-time or flexible schedules, and pay can increase with skill development or certification in annotation tools and processes.

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 technicians perform this work, often using specialized tools, and their role involves accurately labeling data to improve AI system performance.

How much do data annotators get paid?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are part-time or freelance, with some companies offering bonuses or incentives for accuracy and productivity.

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 the role accessible to a wide range of applicants, though competition can vary based on demand and location.

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 July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Data Annotation Quality Control Analyst- St. Louis

Data Annotation Quality Control Analyst- St. Louis

Enabled Intelligence

Saint Louis, MO • On-site

$23/hr

Full-time

Posted 16 days ago

Job description

Data Annotation
Quality Control Analyst
About Enabled Intelligence, Inc.
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!
Data Annotation Quality Control Analyst
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positives
  • Diligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to date
  • Process project data according to established procedures and guidelines
  • Provide feedback and ideas on process improvements or concerns that may impact project performance

Required Qualifications and Skills
  • Strong computer skills including proficiency in Excel and PowerPoint
  • Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to be a team player and work with individuals with different communication, learning and working styles
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours
  • Must be a US Citizen

Desired Qualifications and Skills
  • Previous imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMV
  • Previous Data Annotation Quality Control experience
  • Ability to answer project questions and provide one on one performance feedback to Data Annotators
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements
Prolonged periods of sitting at a desk and working on a computer
Background Check & Security Clearance
Applicants selected will be subject to background investigation and must meet requirements for employment.

Apply