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Night Shift Remote Data Annotation Jobs (NOW HIRING)

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

iMerit

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Video Data Annotator

Miami, FL · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

Data Labeling Expert - Remote

New York, NY · Remote

Video Annotation Specialist Job Type: Contractor Location: Remote Role Overview We are looking for ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Night Shift Remote Data Annotation information

What is a night shift remote data annotation?

A night shift remote data annotation job involves labeling or tagging data, such as images, text, or audio, to help train machine learning models. The work is performed from home or another remote location during nighttime hours, which can be ideal for those needing flexible schedules or working in different time zones. Data annotators use specific guidelines and tools to ensure accuracy and consistency. This job typically requires attention to detail, basic computer skills, and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as a night shift remote data annotation specialist?

To thrive as a Night Shift Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and the ability to work independently, often supported by a high school diploma or equivalent. Familiarity with data labeling tools, annotation software, and basic computer systems is typically required, and experience with platforms like Labelbox or CVAT is beneficial. Excellent time management, self-motivation, and reliable communication skills help you excel in a remote and asynchronous work environment. These skills are crucial to ensure high-quality, consistent data output that directly impacts the effectiveness of machine learning and AI projects.

What are some common challenges faced by night shift remote data annotation professionals, and how can they be managed?

Night shift remote data annotation professionals often encounter challenges such as maintaining focus during late hours, managing fatigue, and staying motivated while working independently. To address these issues, it's helpful to establish a consistent sleep schedule, create a well-lit and organized workspace, and take regular breaks to reduce eye strain and maintain productivity. Additionally, staying connected with team members through scheduled check-ins or chat platforms can help reduce feelings of isolation and foster collaboration, ensuring high-quality annotation work.

What is the difference between Night Shift Remote Data Annotation vs Night Shift Remote Data Labeling?

AspectNight Shift Remote Data AnnotationNight Shift Remote Data Labeling
Primary TaskAdding detailed annotations to datasets, such as bounding boxes or polygonsAssigning labels or categories to data points, often simpler tags
Required SkillsAttention to detail, basic understanding of annotation toolsUnderstanding of categories, quick decision-making
Work EnvironmentRemote, night shift, often part-time or freelanceRemote, night shift, similar flexible hours
Industry UsageUsed in computer vision, autonomous vehicles, AI trainingUsed in machine learning, data categorization tasks

Both roles are remote, night shift positions in AI data processing. Data annotation involves detailed marking of data, while data labeling focuses on categorizing data points. The choice depends on the complexity of tasks and required skills, but both are essential in AI training pipelines.

What is the average salary for night shift remote data annotation jobs?

The average salary for night shift remote data annotation jobs typically ranges from $12 to $20 per hour, depending on experience, company, and location. These roles often require attention to detail and familiarity with annotation tools, with some positions offering additional incentives for night shifts.
More about Night Shift Remote Data Annotation jobs

What cities are hiring for Night Shift Remote Data Annotation jobs?

Cities with the most Night Shift Remote Data Annotation job openings:

What are the most commonly searched types of Shift Remote Data Annotation jobs?

The most popular types of Shift Remote Data Annotation jobs are:

What states have the most Night Shift Remote Data Annotation jobs?

States with the most job openings for Night Shift Remote Data Annotation jobs include:

What are popular job titles related to Night Shift Remote Data Annotation jobs?

For Night Shift Remote Data Annotation jobs, the most frequently searched job titles are:

Night Shift Remote Data Annotation jobs near you
Infographic showing various Night Shift Remote Data Annotation job openings in the United States as of September 2026, with employment types broken down into 47% Full Time, 33% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Data & AI Program Manager (Remote)

Redmond, WA • Remote

Cyborg Mobile
Business Management Consulting • 11 - 50 employees
Learn more about Cyborg Mobileexternal

Full-time

Posted 6 days ago

Job description

About the Role

We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains.

This is a full-time W2 position. You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred). **We are not interested in working with agencies at this time**

What You'll Do
  • Conduct market and user research to understand data needs and expectations across various NLP applications and domains
  • Define data specifications, scope, and sourcing strategy for each use case and domain
  • Design judgment guidelines and instructions for data annotation, validation, and quality control
  • Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements
  • Manage the end-to-end data annotation process
  • Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations
  • Implement approved data quality improvement actions
  • Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact
  • Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes
  • Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners
  • Prepare and deliver data reports, presentations, and demos using client-approved formats and channels
What We're Looking For
  • Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role
  • Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control
  • Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation
  • Analytical mindset with the ability to translate quality metrics into concrete improvement plans
  • Excellent stakeholder communication skills comfortable presenting to both technical and non-technical audiences
  • Experience working in large, matrixed corporate environments 
Must Haves
  • Customer centric
  • Good with follow through 
  • Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot