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Overnight Ai Data Labeling Jobs (NOW HIRING)

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

Data Labeling Specialist We are seeking a detail-oriented Data Labeling Specialist to join our ... Join a first-of-its-kind AI robotics company focused on bringing a general-purpose humanoid to life.

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

AI Engagement Manager

$150K - $180K/yr

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 ...

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Overnight Ai Data Labeling information

How much do AI data labelers make?

AI data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or part-time, often requiring attention to detail and familiarity with labeling tools or platforms.

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.

Is data labelling a good career?

Data labeling is a common entry-level role in the AI industry that involves annotating data for machine learning models. It offers flexible schedules and requires attention to detail, but it may have limited advancement opportunities and lower pay compared to other tech roles.

Which 3 jobs will survive AI?

Jobs like overnight AI data labeling, healthcare professionals, and skilled trades are expected to persist as AI automates routine tasks but requires human oversight, expertise, and empathy. Data labeling remains essential for training AI models, while healthcare and trades rely on complex decision-making and manual skills that are difficult to automate fully.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior data scientist, machine learning engineer, or AI research director, often requiring advanced skills, experience, and sometimes specialized certifications. These roles may involve developing algorithms, managing large datasets, and deploying AI solutions in a corporate or research environment. Compensation at this level usually includes base salary, bonuses, and stock options, reflecting the high demand for AI expertise.

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 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 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.
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:
Infographic showing various Overnight Ai Data Labeling job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Search and Data Labelling Rater - French

Search and Data Labelling Rater - French

Welo Data

Austin, TX • Remote

$5/hr

Part-time

Re-posted 23 days ago


Job description

Job Overview:

We are looking for detail-oriented Search & Data Labeling Raters - French to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework)
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation 
  • Job Type: Freelance contract
  • Pay Rate: $5 USD/hour
  • Location: Remote

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!

$5 - $5 an hour

Why Join Welo Data?  

✨ Limitless Flexibility  

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

How to Apply? 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

About Welo Data 

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.  

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.