Data Annotator

About the Company

DataSoft AI is a growing technology firm dedicated to delivering dependable and scalable artificial intelligence solutions across diverse industries. The company prioritizes the integrity of data to build effective machine learning models and intelligent applications. Staff collaborate in a distributed, team-oriented environment leveraging modern tools and workflows. DataSoft AI fosters a culture of continuous education, welcomes input towards process enhancements, and is committed to inclusive and equitable recruitment and staff development practices. The organization aims to develop AI systems that are accurate, responsible, and broadly beneficial.

Role Summary

As a full-time remote Data Annotator at DataSoft AI, your primary responsibility will be to examine, tag, and classify various forms of data including text, images, audio, and video by following comprehensive guidelines. You will be tasked with validating and correcting prior annotations to enhance dataset uniformity and quality. Daily duties include adhering to annotation protocols, recording exceptional cases, and reporting uncertain or ambiguous data for further consideration. Collaboration with project leaders to refine annotation instructions and contribute feedback aimed at enhancing tools and processes is also expected. The role demands meeting set productivity and quality benchmarks, utilizing in-house annotation platforms, and engaging in ongoing training to remain aligned with changing project specifications.

Qualifications

• Capability to accurately follow detailed written instructions and maintain consistent evaluations across extensive datasets.
• Keen attention to detail and commitment to quality control for repetitive work tasks.
• Familiarity with web-based applications, spreadsheets, and basic data entry environments.
• Proficiency in written communication to effectively document findings, exceptions, and provide constructive feedback.
• Ability to work autonomously in a remote setup while managing time efficiently to fulfill deadlines.
• Openness to learn and adapt to new annotation software, guidelines, and industry-specific concepts as projects progress.
• Minimum of a high school diploma or its equivalent; additional education or experience in data science, artificial intelligence, or related disciplines is advantageous.
• Previous experience in data labeling, quality control, or content moderation is welcome but not mandatory.