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Flexible Remote Image Annotation Jobs (NOW HIRING)

Weekday AI

Contracting Attorney

$80 - $105/hr

Collaborate with product and research teams to refine training datasets, annotation standards, and ... Flexible, remote-friendly engagement * Opportunity to influence how AI systems interpret and manage ...

Mercor

Quality Assurance Specialist

New York, NY · Remote

$50 - $60/hr

Position: Image QA Expert Type: Contract Compensation: $50-$60/hour Location: Remote Role ... Past experience in AI training , model evaluation, or data annotation. Application Process (Takes ...

Mercor

Data Quality Analyst | Upto $60/hr

New York, NY · Remote

$60/hr

Position: Image QA Expert Type: Contract Compensation: $50-$60/hour Location: Remote Role ... Past experience in AI training , model evaluation, or data annotation. Application Process (Takes ...

Weekday AI

General Counsel

$80 - $105/hr

Collaborate with product and research teams to refine training data, annotation frameworks, and ... Flexible, remote-friendly engagement * Opportunity to influence how AI systems interpret and handle ...

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How much do flexible remote image annotation jobs pay per week?

As of May 31, 2026, the average weekly pay for flexible remote image annotation in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flexible Remote Image Annotation Specialist, and why are they important?

To thrive as a Flexible Remote Image Annotation Specialist, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and sometimes experience with basic data entry platforms, is typically required. Excellent time management, communication skills, and the ability to work independently are valued soft skills for this remote role. These skills ensure high-quality, consistent data labeling essential for training reliable machine learning models and supporting AI development.

What are some common challenges faced in flexible remote image annotation roles and how can they be managed?

One common challenge in flexible remote image annotation is maintaining accuracy and consistency across large datasets, especially when guidelines are complex or images are ambiguous. Working independently can also make it harder to get immediate feedback or clarification. To manage these challenges, it’s important to regularly review annotation guidelines, participate in team check-ins or forums, and make use of quality assurance tools provided by the employer. Staying organized and communicating proactively with project leads can help ensure your work meets expectations and deadlines.

What is flexible remote image annotation?

Flexible remote image annotation is a job where individuals label or tag elements within digital images from a remote location, often from home. This work is crucial for training artificial intelligence and machine learning models, particularly in fields like computer vision and autonomous vehicles. The 'flexible' aspect means workers can often set their own hours and choose tasks according to their availability. Image annotation tasks may include outlining objects, assigning categories, or describing visual content in images. Most positions require attention to detail and basic computer skills, but prior experience is not always necessary.

What is the difference between Flexible Remote Image Annotation vs Data Labeler?

AspectFlexible Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, categorizing images or text

Flexible Remote Image Annotation and Data Labeler roles both involve data processing tasks in AI and machine learning industries. While image annotation focuses on marking specific features within images, data labelers may work with various data types, including text and images. Both roles are remote, require similar skills, and serve the same industry needs, but image annotation emphasizes visual data precision.

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What cities are hiring for Flexible Remote Image Annotation jobs? Cities with the most Flexible Remote Image Annotation job openings:
What are the most commonly searched types of Remote Image Annotation jobs? The most popular types of Remote Image Annotation jobs are:
What states have the most Flexible Remote Image Annotation jobs? States with the most job openings for Flexible Remote Image Annotation jobs include:
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Flexible Remote Image Annotation jobs near you
Infographic showing various Flexible Remote Image Annotation job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 86% Physical, 13% Hybrid, and 1% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.
Query Vetting Specialist AI/LLM Evaluation (Japanese/German/Portuguese)

Query Vetting Specialist AI/LLM Evaluation (Japanese/German/Portuguese)

Summa Linguae Technologies

New York, NY • Remote

Other

Posted 4 days ago

Job description

Salary: 20-35 $ per hour

Hello Everyone,

Greetings from the Datamundi team!!

We are looking for highly motivated and detail-oriented Query Vetting Specialists with expertise in Japanese , German or Portuguese language evaluation and a strong understanding of Generative AI and Large Language Models (LLMs).

Please find the details below.

Job Type: Contract (Short-Term / Long-Term based on performance and project requirements)
Work Mode: Remote (WFH)
Location Requirement: Candidates must be located in the United States
Domain: IT / Generative AI
Working Hours: US Shift 35 Hours per Week

In this role, you will support AI research and evaluation initiatives by designing and executing data collection, annotation, fact-checking, and query evaluation workflows. You will work closely with AI researchers and engineers to improve the quality, safety, and performance of LLM systems.

This opportunity is ideal for candidates with strong linguistic skills, research capabilities, analytical thinking, and an interest in cutting-edge AI technologies.

Key Responsibilities

  • Vet, review, and evaluate user queries and AI-generated responses for quality, relevance, and factual accuracy
  • Collaborate with GenAI researchers and engineers to understand project requirements and evaluation goals
  • Expand high-level requirements into detailed evaluation workflows and documentation
  • Conduct deep research using LLM tools and reliable external sources
  • Perform fact-checking and accuracy verification to minimize misinformation risks
  • Assess curated and AI-generated content for linguistic quality, cultural appropriateness, and informativeness
  • Create and maintain annotation guidelines and quality standards
  • Identify prompt quality issues and recommend improvements for better LLM performance
  • Ensure high throughput while maintaining exceptional quality standards
  • Collaborate with cross-functional teams in a fast-paced remote environment

Required Qualifications

Language Proficiency

Candidates must demonstrate Native, Bilingual, or Full Professional Proficiency in at least one of the following:

  • Japanese (Native of Japan)
  • German (Native of Germany)
  • Portuguese (Native of Brazil)

Educational Background

  • Graduate with strong academic performance and deep cultural understanding
  • Degree from a reputed US or international university/institute preferred

Experience

  • Minimum 2+ years of professional experience in Japanese or German language-related roles
  • Prior experience in AI/LLM evaluation, content moderation, annotation, localization, linguistic QA, or research preferred
  • Understanding of AI, NLP, and Large Language Models is mandatory

Preferred Skills

  • Excellent reading, writing, grammar, and communication skills
  • Strong research and analytical capabilities
  • Exceptional attention to detail and accuracy
  • Familiarity with AI tools and prompt evaluation
  • Understanding of ethical AI practices and bias mitigation
  • Data literacy and experience handling structured/unstructured datasets
  • Ability to work independently with minimal supervision

Interview Process

  1. Resume Screening
  2. Assessment Test
  3. Take-Home Assignment / Interview
  4. Managerial Round

Why Join Datamundi?

  • Work on cutting-edge Generative AI projects
  • Collaborate with global AI researchers and engineers
  • Flexible remote work environment
  • Opportunity for long-term engagement based on performance
  • Exposure to advanced LLM evaluation and AI quality workflows

Ideal Candidate

We are looking for young, dynamic professionals who have demonstrated strong academic excellence, exceptional linguistic expertise, and the ability to thrive in a fast-paced AI-driven environment with minimal supervision.

Summa Linguae Technologies logo

About Summa Linguae Technologies

Sourced by ZipRecruiter

Our mission is to spark constant innovation. We enable each other to take full ownership of everything we do. We stay dynamic and challenge ourselves to master new skills—while having fun along the way. At Summa Linguae, we’re passionate about language and technology. We provide data solutions, localization, and managed services to many of the world’s biggest companies.

Industry

Translation services

Company size

51 - 200 Employees

Headquarters location

Westborough, MA, US

Social media

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