Remote Data Annotator – Work from Anywhere – Shape the Future of AI

Join a globally distributed team that turns raw data into the intelligence powering tomorrow’s breakthrough models. As a Remote Data Annotator you’ll label, verify, and enrich datasets that directly improve machine‑learning performance across industries.

About the Role

We are looking for detail‑oriented professionals who thrive in a fully remote environment and enjoy turning ambiguous instructions into clean, high‑quality annotations. You will collaborate with data scientists, engineers, and product managers to define annotation guidelines, execute labeling tasks at scale, and provide feedback that refines our data pipelines. This position offers the flexibility to set your own schedule while contributing to projects that impact millions of users worldwide.

Key Responsibilities

• Accurately label text, image, audio, and video data according to project‑specific guidelines.
• Perform quality‑control checks on peer annotations and flag inconsistencies for review.
• Collaborate with the annotation lead to iterate on guideline documents and improve inter‑annotator agreement.
• Meet daily throughput targets while maintaining a minimum 98 % accuracy rate.
• Document edge cases and propose guideline updates to reduce ambiguity.
• Participate in weekly syncs to discuss project progress, blockers, and upcoming data releases.

Requirements

• High school diploma or equivalent; a bachelor’s degree in linguistics, computer science, or a related field is a plus.
• Proven experience (≥ 1 year) in data annotation, content moderation, or a similar quality‑focused role.
• Strong command of English (written and spoken); additional language proficiency is highly valued.
• Comfortable using annotation platforms such as Labelbox, Prodigy, CVAT, or proprietary tools.
• Reliable high‑speed internet connection and a quiet workspace suitable for sustained focus.
• Ability to work independently, manage time across multiple projects, and communicate asynchronously via Slack, Notion, or email.

Preferred Qualifications

• Familiarity with basic Python scripting for data preprocessing.
• Experience with NLP tasks such as named‑entity recognition, sentiment analysis, or coreference resolution.
• Background in domain‑specific annotation (medical imaging, autonomous driving, legal documents, etc.).
• Certification in data quality or annotation best practices (e.g., DQI, IAAP).

Salary Range

$45,000 – $65,000 USD per year, commensurate with experience, language skills, and project complexity.

Benefits & Perks

• 100 % remote – work from any city, state, or country where you are legally authorized.
• Flexible hours with core‑overlap windows for team collaboration.
• Annual learning stipend ($1,000) for courses, certifications, or conferences.
• Health, dental, and vision coverage (U.S. residents) or equivalent local benefits.
• Generous paid time off, including mental‑health days and a “work‑from‑anywhere” week each quarter.
• Equipment allowance for ergonomic chair, monitor, and noise‑cancelling headset.
• Access to a vibrant community of annotators, data scientists, and ML engineers for networking and mentorship.

Our Culture

We believe that high‑quality data is the backbone of trustworthy AI. Our culture prizes transparency, continuous learning, and respect for the annotator’s craft. Decisions are data‑driven, feedback loops are short, and every team member has a voice in shaping annotation standards. We celebrate diversity of thought, language, and background because it enriches the datasets we build.

How to Succeed in This Role

Success comes from a blend of meticulous attention to detail and proactive communication. Top performers regularly review guideline updates, ask clarifying questions before they become bottlenecks, and share pattern‑recognition insights that help the engineering team improve model performance. By treating each annotation as a micro‑experiment, you’ll not only hit quality targets but also become a trusted partner in the AI development lifecycle.