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Ai Annotation Remote Jobs (NOW HIRING)

micro1

Fine Artist/ Plastic Artist AI Trainer

Manhattan, NY · Remote

$140K - $167K/yr

Remote Job Summary Join our client's creative team as a Digital Artist/ Plastic Artist/ Fine Artist ... High adaptability and eagerness to learn AI annotation and feedback methodologies. Strong sense of ...

Akidev Corporation

Data Engineer III 70756-1

Menlo Park, CA · On-site +1

$134K - $162K/yr

... AI-augmented, large-scale data pipelines (billions of images) integrating traditional transformations with ML models (classifiers, embeddings, LLMs) for cleaning and annotation. Remote Inference ...

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How much do ai annotation remote jobs pay per year?

As of Jun 5, 2026, the average yearly pay for ai annotation remote in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What are AI Annotation Remote jobs?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

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Ai Annotation Remote jobs near you
Fine Artist/ Plastic Artist AI Trainer

Fine Artist/ Plastic Artist AI Trainer

micro1

Manhattan, NY • Remote

$140K - $167K/yr

Full-time

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

Job description

Job Title: Digital Artist for AI training Job Type: Full-time Location: Remote Job Summary Join our client's creative team as a Digital Artist/ Plastic Artist/ Fine Artist/ Art curator – AI Training, where your artistic insight will help shape how artificial intelligence perceives and understands visual art. In this innovative role, you'll apply your knowledge of design, composition, and visual aesthetics to evaluate and describe images, helping advanced AI models learn the language of art. No prior experience with AI is required—only a strong artistic eye, a passion for detail, and an eagerness to explore how technology and creativity intersect.

Key Responsibilities Curate gold-standard artworks and visual references that exemplify artistic balance, color harmony, and material techniques. Annotate and objectively describe visual elements—such as shape, gesture, light, and spatial depth—using precise and accessible language. Evaluate AI-generated images, identifying errors in proportion, perspective, and stylistic execution while offering actionable critique.

Provide clear, structured written feedback linking visual insights to essential art principles. Collaborate closely with engineers and researchers to define nuanced aesthetic criteria and strengthen AI understanding of artistic intent. Document and explain traditional art methods—ranging from brushwork to texture application—to enrich AI training datasets.

Champion best practices in visual interpretation, ensuring the AI models reflect artistic integrity and expressiveness. Required Skills and Qualifications Proven track record in arts, demonstrated through a strong, diverse portfolio. Expertise in composition, color theory, proportion, and visual balance within various media.

Exceptional ability to communicate visual decisions and artwork analysis both in writing and through verbal discussion. Keen attention to detail with the capacity to maintain consistency across complex visual datasets. High adaptability and eagerness to learn AI annotation and feedback methodologies.

Strong sense of artistic integrity and commitment to quality in both traditional and digital mediums. Preferred Qualifications Familiarity with digital tools such as Photoshop, Procreate, or photography-based documentation methods. Genuine interest in AI, creative technology, and visual analysis.

Openness to developing new skills in machine learning annotation systems. Bachelors in any art related field from a US or European Institution #J-18808-Ljbffr

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