ZipRecruiter

Log In

1

Overnight Ai Data Labeling Jobs (NOW HIRING)

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Minneapolis, MN

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Boca Raton, FL · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Dayton, OH · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Alpharetta, GA · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

Pareto AI

AI Engagement Manager

$150K - $180K/yr

About This Role AI Engagement Managers own the relationships with Pareto's most important accounts ... Partner with Product, Delivery, and Engineering to design solutions covering data labeling, evals ...

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

... annotation, data labeling, computer vision datasets, or egocentric video. Start Date * Monday morning 17th August (PST) Application Process (Takes 20-30 mins to complete) * Upload resume * AI ...

TSMG Holding

AI/ML Data Contributor

Indianapolis, IN · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

Pareto Inc.

AI Engagement Manager

California, MO · On-site

$100 - $130/hr

Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red‑teaming, and emerging workflows * Ensure strong requirements gathering ...

TSMG Holding

AI/ML Data Contributor

Wichita, KS · On-site

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models * Expert Marketplace : Connecting AI teams with highly ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

previous page

Showing results 41-60

All Jobsovernight JobsManufacturing JobsProduct Manufacturing JobsProduction Line Worker JobsOvernight Ai Data Labeling Jobs

Overnight Ai Data Labeling information

What is overnight AI data labeling?

Overnight AI data labeling involves annotating and categorizing data, such as images, videos, or text, during nighttime hours to prepare it for use in training artificial intelligence models. This work typically requires attention to detail and accuracy, as the quality of labeled data directly affects AI performance. Overnight shifts are often used by companies to ensure a continuous workflow and to accelerate project timelines. Data labelers may use specialized tools to tag, classify, or segment data according to specific guidelines provided by clients or employers.

What are the key skills and qualifications needed to thrive as an overnight AI data labeler, and why are they important?

To thrive as an Overnight AI Data Labeler, you need strong attention to detail, accuracy, and the ability to follow complex instructions, often supported by a high school diploma or relevant experience. Familiarity with data labeling platforms, annotation tools, and basic computer applications is typically required. Strong time management, self-motivation, and dependable communication are essential soft skills for working independently during overnight shifts. These skills ensure high-quality, consistent data annotation that directly impacts the performance and reliability of AI models.

What are some common challenges faced by overnight AI data labeling professionals, and how can they be addressed?

Overnight AI data labeling professionals often face challenges such as maintaining focus during late hours, managing screen fatigue, and adapting to fast-paced project requirements. To address these, it's important to establish a consistent sleep schedule, take regular short breaks to rest your eyes, and stay organized by tracking progress against nightly goals. Collaborating with teammates through scheduled check-ins or chat platforms can also help maintain motivation and ensure high-quality results, even during less traditional work hours.

What is the difference between Overnight Ai Data Labeling vs Data Annotation Specialist?

AspectOvernight Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with annotation tools
Work EnvironmentRemote or flexible hours, often project-basedOffice or remote, depending on employer
Industry UsageCommon in AI and machine learning projectsUsed across AI, healthcare, autonomous vehicles
Search IntentFocus on overnight or flexible schedulingBroader annotation roles, less emphasis on timing

Overnight Ai Data Labeling typically involves quick turnaround tasks with flexible hours, often performed remotely. Data Annotation Specialists may have similar skills but usually work regular hours and may handle more complex annotation tasks. Both roles are essential in AI development, but Overnight Ai Data Labeling emphasizes speed and flexibility, whereas Data Annotation Specialists focus on detailed, accurate labeling across various industries.

More about Overnight Ai Data Labeling jobs

What cities are hiring for Overnight Ai Data Labeling jobs?

Cities with the most Overnight Ai Data Labeling job openings:

What are the most commonly searched types of Ai Data Labeling jobs?

The most popular types of Ai Data Labeling jobs are:

What states have the most Overnight Ai Data Labeling jobs?

States with the most job openings for Overnight Ai Data Labeling jobs include:

What job categories do people searching Overnight Ai Data Labeling jobs look for?

The top searched job categories for Overnight Ai Data Labeling jobs are:

Overnight Ai Data Labeling jobs near you
Infographic showing various Overnight Ai Data Labeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Video Data Reviewer - Egocentric - AI Trainer

Mercor

Boston, MA • Remote

$20 - $25/hr

Full-time

Posted 5 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries following provided guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfort with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor