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Remote Ai Annotation Writing Jobs (NOW HIRING)

divvyDOSE

Manager of Clinical Annotation - | , |

$91K - $163K/yr

Contribute to roadmap planning for annotation projects and AI initiatives * Identify opportunities ... Listen Actively * Speak and Write Clearly * Innovation Value: Support Change and Innovation

New

Mercor

Video Game Annotation Specialist

New York, NY · Remote

$16 - $17/hr

Remote Role Responsibilities * Annotate assigned games such as Minecraft and open-world games for ... Work independently and asynchronously to meet deadlines and improve AI model performance

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Weekday AI

AI Evaluation Specialist

$70/hr

This is a fully remote, contract-based opportunity with flexible working hours. Requirements Key ... Write clear, concise, and evidence-based rationales explaining evaluation decisions. * Highlight ...

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Remote Ai Annotation Writing information

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How much do remote ai annotation writing jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for remote ai annotation writing in the United States is $40.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $46.39 per hour, depending on experience, location, and employer.

What are some common challenges faced in remote AI annotation writing, and how can they be overcome?

Remote AI annotation writing often requires maintaining high accuracy and consistency while labeling large datasets, which can be repetitive and detail-oriented. Common challenges include understanding ambiguous content, managing distractions in a home environment, and staying updated with changing annotation guidelines. To overcome these, it's helpful to set up a dedicated workspace, communicate regularly with your team or project managers for clarification, and utilize provided training resources or feedback. Maintaining a steady workflow and taking regular breaks also helps reduce errors and burnout.

What is remote AI annotation writing?

Remote AI annotation writing involves labeling, categorizing, or adding descriptive information to data—such as text, images, audio, or video—to help train artificial intelligence and machine learning models. Workers in this role typically use specialized platforms to tag or classify data according to specific guidelines, all while working from home or another remote location. This work is essential for improving the accuracy and effectiveness of AI systems, such as those used in natural language processing or computer vision. Annotations might include identifying objects in images, transcribing audio, or highlighting sentiment in text. The job often requires attention to detail, consistency, and sometimes subject matter expertise depending on the project.

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

AspectRemote Ai Annotation WritingRemote Data Labeling Specialist
Primary RoleCreating and editing annotations for AI training dataLabeling and categorizing data for machine learning models
Skills RequiredAttention to detail, understanding of annotation tools, basic AI knowledgeData organization, accuracy, familiarity with labeling software
Work EnvironmentRemote, often flexible hoursRemote, often flexible hours
Industry UsageAI development, machine learning projectsAI, autonomous vehicles, healthcare, and more

Both roles involve working remotely to support AI projects, but Remote Ai Annotation Writing focuses on creating detailed annotations for training data, while Remote Data Labeling Specialist emphasizes categorizing and labeling data accurately. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

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

To thrive as a Remote AI Annotation Writer, you need strong attention to detail, excellent written communication skills, and the ability to follow complex guidelines, typically supported by a background in linguistics, writing, or a related field. Familiarity with annotation platforms, data labeling tools, and sometimes basic knowledge of programming languages like Python can be beneficial. Adaptability, time management, and the ability to work independently are crucial soft skills for remote collaboration and meeting project deadlines. These skills ensure high-quality, accurate data annotation, which is essential for training reliable AI systems.
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Remote Ai Annotation Writing jobs near you
Infographic showing various Remote Ai Annotation Writing 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, with an average salary of $84,151 per year, or $40.5 per hour.

Mathematician - Formal Proof & AI Foundations (Remote Contract)

Alignerr

Remote

$170 - $200/hr

Contractor

Posted 27 days ago

Job description

Mathematician - Formal Proof & AI Foundations (Remote Contract)
About the Role
What if your deep knowledge of formal mathematics could directly shape how the most advanced AI systems in the world reason, prove, and think? We're looking for mathematicians with a passion for rigorous proof and formal systems to help build the mathematical foundations that frontier AI depends on.
This is a fully remote, flexible contract role working at the intersection of pure mathematics, logic, and cutting-edge AI research. Brazil has a vibrant and growing mathematical community - if you live and breathe formal proof and know your way around Lean 4, this is a rare opportunity to contribute to frontier AI from anywhere in Brazil.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Formalize advanced mathematical arguments and theorems in Lean 4, spanning a wide range of mathematical disciplines
  • Contribute to the growth and quality of large-scale formal mathematical libraries, including mathlib
  • Construct clean, readable, and well-structured formal proofs that translate informal mathematical reasoning into rigorous machine-checkable form
  • Audit and verify existing formal proofs for correctness, completeness, and logical integrity
  • Work at the frontier of AI research, helping train the next generation of mathematically capable language models

Who You Are
  • Hold a Master's degree or PhD in Mathematics or a closely related field
  • Possess a strong background in rigorous mathematical proof writing and logical reasoning
  • Have hands-on experience with formal proof assistants -
    Lean 4 strongly preferred
  • Can fluently translate informal mathematical ideas into structured, machine-verifiable formal proofs
  • Self-motivated and comfortable working independently in a remote, asynchronous environment

Nice to Have
  • Prior experience with proof verification, theorem proving, or mathematical formalization projects
  • Familiarity with mathlib or other large-scale formal mathematical libraries
  • Background in data annotation, data quality evaluation, or AI training workflows
  • Experience across multiple mathematical domains - topology, algebra, analysis, logic, and beyond

Why Join Us
  • Work on frontier AI research alongside the world's leading AI labs and research teams
  • Fully remote and flexible - structure your work around your life, not the other way around
  • Freelance autonomy with the intellectual depth of meaningful, high-stakes technical work
  • Contribute directly to formal mathematical libraries that will outlast any single project
  • Gain rare exposure to how cutting-edge large language models are built and trained
  • Potential for ongoing work and contract extension as new projects launch

Apply