Generalist for Data Annotation
Full remote gigs · Posted last week
- Location
- Worldwide
- Work mode
- Remote
- Employment type
- Contract
- Compensation
- $21 – $35/hour
- Apply by
- 05/01/2027
Role Title: Generalist for Data Annotation
Role Type: Contractor
Location: Remote
Our client is engaging Generalists for Data Annotation to contribute to a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity centers on image data annotation, requiring both accuracy and attention to detail while collaborating with a distributed project team. Clear and effective written and verbal communication are pivotal to success.
Scope of Work
- Precisely annotate and categorize image data according to detailed project guidelines.
- Review and validate annotations for consistency and quality, identifying and correcting any discrepancies.
- Provide constructive feedback on annotation processes, contributing to continuous improvement.
- Collaborate with project participants and stakeholders to clarify requirements and resolve questions.
- Document annotation methodologies and articulate rationale for labeling decisions.
- Adapt to evolving annotation standards and quickly integrate feedback into your workflow.
- Meet defined project deliverables within established timelines.
Requirements
Apply if you have:
- Demonstrated expertise in data annotation, with a focus on image-based projects.
- Strong written and verbal communication skills for effective remote collaboration.
- Meticulous attention to detail and a commitment to producing high-quality, accurate annotations.
- Proficiency in using annotation tools and platforms for image datasets.
- Experience working independently on complex projects and meeting project goals.
- Ability to adapt to new guidelines, tools, or project requirements as needed.
- Background in fields such as computer vision, data analysis, or related domains is a plus.