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Remote Annotation Jobs in South Carolina (NOW HIRING)

Mindrift - Data annotation

SC · On-site

This is a project-based opportunity on an AI training platform. No fixed hours, no commitment beyond what fits your schedule. You talk, you get paid. About the Role We're looking for bilingual

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Remote Annotation information

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$14

$25

$35

How much do remote annotation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote annotation in South Carolina is $25.68, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $30.77 per hour, depending on experience, location, and employer.

What is a remote annotation?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What are the key skills and qualifications needed to thrive in remote annotation, and why are they important?

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.

What are popular job titles related to Remote Annotation jobs in South Carolina?

For Remote Annotation jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Annotation jobs in South Carolina look for?

The top searched job categories for Remote Annotation jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Annotation jobs?

Cities in South Carolina with the most Remote Annotation job openings:

Remote Annotation jobs near you
Infographic showing various Remote Annotation job openings in South Carolina as of September 2026, with employment types broken down into 1% As Needed, 50% Full Time, 45% Part Time, and 4% Contract. Highlights an 39% Physical, 1% Hybrid, and 60% Remote job distribution, with an average salary of $53,415 per year, or $25.7 per hour.

Principal Coding Annotator / LLM Evaluation Engineer

Alcolu, SC • On-site, Remote

Braintrust
See more jobs at Braintrustexternal

$75 - $90/hr

Full-time

Posted 8 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