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Remote Ai Annotation Writing Jobs in Garfield, NJ

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ... Excellent written communication and professional editing abilities. * Experience with prompt ...

Remote Role Responsibilities * Build answer keys for a multimodal search evaluation set. * Review ... Write the scoring standard rather than score model answers. * Identify exact names, titles, models ...

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Radiologist Remote

New York, NY · Remote

$350K - $437K/yr

Radiologist - Hand Anatomy Annotation Role Type: Contractor Location: Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual reasoning skills to support an AI ...

... Remote, full-time work delivered through online tooling and written annotation guidelines. Quality is measured via audits, disagreement rates, rubric adherence, and training data quality outcomes.

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Remote Ai Annotation Writing information

See Garfield, NJ salary details

$14

$41

$102

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

As of Sep 1, 2026, the average hourly pay for remote ai annotation writing in Garfield, NJ is $41.66, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $47.79 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote AI annotation writer?

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.

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 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.

AI Annotation Specialist - Fully Remote | Upto $30/hr

Mercor

New York, NY • Remote

$30/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


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 Session Annotator (English)
Type: Contract
Compensation: $24–$30/hour
Location: Remote

Role Responsibilities

  • Review recorded sessions where users interact with an AI assistant via voice and camera.
  • Compare the assistant's responses to visible video content. Identify hallucinated or fabricated visual details.
  • Score sessions on visual interpretation, accuracy, relevance, response timing, and spatial language use.
  • Evaluate if the assistant appropriately warned users about health, safety, or financial risks.
  • Write detailed comments supporting scores with concrete session evidence.
  • Capture conversation turns in the intake form.

Qualifications

Must-Have

  • Native or native-level English, spoken and written.
  • Clear, precise written English.
  • An Android phone with a working camera and microphone.
  • Attention to detail and consistent rubric application.

Preferred

  • Experience in data annotation, linguistic QA, content moderation, or AI model evaluation.
  • Training in linguistics, translation, or interpreting.
  • Ability to recognize unnatural or non-native English.

Start Date

  • Immediate; high volume of work expected between 26 to 31 Aug.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant background.
  • Complete a short calibration task on sample sessions, assessed on scoring consistency and comment usefulness.

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.