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Flexible Remote Image Annotation Jobs in Kentucky

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Flexible Remote Image Annotation information

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 are the key skills and qualifications needed to thrive as a flexible remote image annotation specialist?

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 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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Cities in Kentucky with the most Flexible Remote Image Annotation job openings:

Flexible Remote Image Annotation jobs near you

Principal Coding Annotator / LLM Evaluation Engineer

Braintrust

Alexandria, KY • On-site, Remote

$75 - $90/hr

Full-time

Posted 4 days ago

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

This is a contracting engagement - initially 6 months - with potential for long term engagement.

Location: Paris or London-based preferred; alternatively Europe remote for strong candidates


We are building and evaluating state-of-the-art large language models (LLMs) and are looking for experienced software engineers to join our evaluation and annotation team. This role sits at the intersection of real-world software engineering, model evaluation, and applied AI, and is critical to improving model reliability, reasoning, and code quality.

You will design challenging coding tasks, evaluate model outputs against rigorous benchmarks, identify failure modes, and contribute to reinforcement learning and model improvement workflows.

This is not a junior annotation role. We are looking for practitioners with deep hands-on coding experience who can think like both an engineer and an evaluator.

What You’ll Do
  • Evaluate coding tasks involving software vulnerabilities, exploit verification, and security patches.
  • Create high-quality coding prompts and reference answers (benchmark-style, e.g. SWE-Bench-like problems).
  • Evaluate LLM outputs for code generation, refactoring, debugging, and implementation tasks.
  • Identify and document model failures, edge cases, and reasoning gaps.
  • Perform head-to-head evaluations between private LLMs (Mistral-based) and leading external models.
  • Build or configure coding environments to support evaluation and reinforcement learning (RL).
  • Follow detailed annotation and evaluation guidelines with high consistency.
What We’re Looking For
  • 5+ years of professional software development experience.
  • Strong Python skills (required).
  • Knowledge of at least one additional programming language (bonus).
  • Experience with professional code review, coding annotation, LLM/code evaluation, or benchmark design is a plus, but not required.
  • Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting, or validating security patches.
  • Proven ability to apply structured evaluation criteria and write clear technical feedback.
  • Fluent in English (written and spoken).
  • Team lead or mentoring experience is a strong plus.
Why This Role
  • Work hands-on with cutting-edge LLMs.
  • Apply real-world engineering judgment to model evaluation and improvement.
  • High-impact, technical work with a focused, senior team.

Apply