Contract Compensation: $50/hour Location: Remote Duration: 2-4 weeks Role Responsibilities * Place ... Prior experience in data annotation , evaluation , or AI-related work . Compensation & Legal
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Contract Compensation: $50/hour Location: Remote Duration: 2-4 weeks Role Responsibilities * Place ... Prior experience in data annotation , evaluation , or AI-related work . Compensation & Legal
New
Own the data contract model - establishing formal agreements with consuming teams and applications ... Understands what it takes to make data AI-ready: denormalization, annotation, semantic enrichment ...
Own the data contract model - establishing formal agreements with consuming teams and applications ... Understands what it takes to make data AI-ready: denormalization, annotation, semantic enrichment ...
Own the data contract model - establishing formal agreements with consuming teams and applications ... Understands what it takes to make data AI-ready: denormalization, annotation, semantic enrichment ...
Own the data contract model - establishing formal agreements with consuming teams and applications ... Understands what it takes to make data AI-ready: denormalization, annotation, semantic enrichment ...
Contract Data Annotation information
What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?
To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.
What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?
Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What is a contract data annotation job?
A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.
What is the difference between Contract Data Annotation vs Data Labeler?
| Aspect | Contract Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, project-based | Remote or on-site, task-based |
| Industry Usage | AI/ML training, tech companies | AI/ML training, tech companies |
| Job Focus | Annotating data for machine learning models | Labeling data to improve AI algorithms |
Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.
What are the most commonly searched types of Data Annotation jobs in Georgia? The most popular types of Data Annotation jobs in Georgia are:
What are popular job titles related to Contract Data Annotation jobs in Georgia? For Contract Data Annotation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Contract Data Annotation jobs in Georgia look for? The top searched job categories for Contract Data Annotation jobs in Georgia are:
What cities in Georgia are hiring for Contract Data Annotation jobs? Cities in Georgia with the most Contract Data Annotation job openings:
$50/hr
Full-time
Posted 21 hours ago
Job description
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Multilingual Call Evaluation & Transcription Contractors
Type: Contract
Compensation: $50/hour
Location: Remote
Duration: 2–4 weeks
Role Responsibilities
- Place and review scripted or semi-structured calls.
- Evaluate call quality, focusing on pronunciation, prosody, phrasing, and fluency.
- Score calls based on provided guidelines to ensure quality and consistency.
- Complete transcription tasks accurately and efficiently.
- Work independently and asynchronously to meet deadlines and maintain high standards.
Qualifications
Must-Have
- Native fluency in one of the listed languages.
- Ability to evaluate standard accent and identify deviations in pronunciation, prosody, and phrasing.
- Strong attention to detail and consistency in scoring.
Preferred
- Prior experience in data annotation, evaluation, or AI-related work.
Compensation & Legal
- Hourly contractor
- Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#hiringmercor