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Night Data Annotation Tech Jobs (NOW HIRING)

... annotation and labeling methods • Experience with various data modeling techniques and tools • Familiar with Finance and Banking products • Broad expertise in data technologies; i.e., data ...

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and ...

Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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Night Data Annotation Tech information

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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.
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:
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.
Geospatial AI Data Annotator- St. Louis

Geospatial AI Data Annotator- St. Louis

Enabled Intelligence

Saint Louis, MO

Full-time

Posted 15 days ago


Job description

Geospatial AI Data Annotator

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!

Geospatial AI Data Annotator

Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.

Responsibilities

  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills

  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good 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 understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in St. Louis MO, VA Monday-Friday during normal business hours

Desired Qualifications and Skills

  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV) 
  • 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 

  • Applicants selected will be subject to background investigation and must meet requirments for employment.