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Remote Ai Data Annotator Jobs (NOW HIRING)

AI Data Intelligence Lead AI Foundry | NewRocket Location ... Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ...

AI Data Intelligence Lead AI Foundry | NewRocket Location ... Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ...

Lead AI & Data Scientist

$150K - $170K/yr

Role: Lead AI & Data Scientist FLSA: Full Time | Exempt | Salaried | Remote (US) Reports to: Chief Technology Officer Scope of Position : We are seeking a Lead AI & Data Scientist to help define ...

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

New

Remote AI Architect

Boston, MA ยท Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong understanding of data governance, privacy, security, and model risk management. * Prior ...

... is a remote-first global company with employees based in the United States, Latin America, and ... Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ... AI and healthcare.

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Remote Ai Data Annotator information

What is the difference between Remote Ai Data Annotator vs Remote Machine Learning Data Labeler?

AspectRemote Ai Data AnnotatorRemote Machine Learning Data Labeler
Required CredentialsBasic computer skills, training in annotation toolsSimilar, often no formal degree required
Work EnvironmentRemote, flexible hours, task-basedRemote, task-based, often part-time
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, computer vision, NLP
Search & Comparison IntentHigh overlap, often compared for entry-level rolesSimilar roles, slightly more specialized in data types

The Remote Ai Data Annotator and Remote Machine Learning Data Labeler roles are quite similar, often requiring basic technical skills and working remotely in AI-related industries. The main difference lies in terminology and specific data types labeled, but both roles serve as entry points into AI data preparation, with overlapping skills and work environments.

What are the key skills and qualifications needed to thrive as a Remote AI Data Annotator, and why are they important?

To thrive as a Remote AI Data Annotator, you need keen attention to detail, strong analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Experience with annotation platforms, data management tools, and sometimes knowledge of scripting languages like Python is valuable. Strong communication, time management, and self-motivation are essential soft skills for meeting deadlines and working independently. These skills ensure high-quality, consistent data annotation, which is crucial for developing accurate AI and machine learning models.

What are some common challenges faced by remote AI data annotators, and how can they be addressed?

Remote AI data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent labeling accuracy, and managing effective communication with team members across different time zones. To address these, it's helpful to establish a structured work schedule, use productivity tools to minimize distractions, and actively participate in team meetings or chats to clarify annotation guidelines. Regular feedback sessions and quality checks also play a key role in maintaining high annotation standards and fostering professional growth within the team.

What are Remote AI Data Annotators?

Remote AI Data Annotators are professionals who label, categorize, or tag data such as images, text, audio, or video to train and improve artificial intelligence (AI) models. They work remotely, often from home, using specialized software to ensure data is accurate and useful for machine learning algorithms. Their work is essential for helping AI systems learn to recognize patterns, make predictions, and perform tasks like image recognition or natural language processing. Annotators must be detail-oriented and follow specific guidelines to ensure the quality and consistency of labeled data.
More about Remote Ai Data Annotator jobs
What cities are hiring for Remote Ai Data Annotator jobs? Cities with the most Remote Ai Data Annotator job openings:
What are the most commonly searched types of Ai Data Annotator jobs? The most popular types of Ai Data Annotator jobs are:
What states have the most Remote Ai Data Annotator jobs? States with the most job openings for Remote Ai Data Annotator jobs include:
Infographic showing various Remote Ai Data Annotator job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 88% Part Time, and 6% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
AI Data Expert - Cantonese - Remote

AI Data Expert - Cantonese - Remote

LILT (Production)

San Francisco, CA โ€ข Remote

Contractor

Posted 4 days ago


Job description

About The Opportunity

We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.

In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.

You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.

What Youโ€™ll Deliver
  • Depending on the task, you may be asked to generate original content or assess AI-generated outputs.

  • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.

  • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.

  • Provide concise, structured annotations that can be used directly for model improvement.

  • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

Qualifications
  • Native fluency in the target language

  • Strong command of English

  • Experience as AI reviewer, annotator, or evaluator preferred

  • Comfortable working with both textual and audio/video materials

  • Ability to follow detailed guidelines consistently and provide clear feedback

  • High attention to detail and ability to thoroughly and accurately categorize content

Why Collaborate with Lilt?
  • Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.

  • Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.

  • Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.

  • Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.

  • Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.

  • Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.

  • Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.

How to join our expert community

1 - Submit your application including an updated copy of your CV in English

2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills

3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.

AI is changing how the world communicates โ€” and LILT is leading that transformation.

LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.

Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive communityโ€”all through a streamlined application process tailored to your expertise.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including rรฉsumรฉ screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individualโ€™s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.