AI Data Quality & Annotation Specialist

Prolific; Barcelona; Presencial; EUR 23.629 - 35.444; A tiempo parcial

Descripción de la vacante

Prolific in Barcelona is seeking Data Entry Clerks to aid in AI training and evaluation. The role involves working with real data to review and correct AI outputs while ensuring accuracy. Candidates should have experience in data entry, a sharp eye for detail, and strong communication skills.

The ideal candidate must be proficient with tools like Excel and SQL and should possess a PayPal account for payment. This position offers $25 per hour for data tasks.

Formación

• Years of experience in high-volume data entry, data processing, or records administration.
• Proven track record of maintaining high accuracy rates.
• High typing speed and the ability to process data quickly.
• Familiarity with data formats and validation rules.
• Solid written English skills for assessing clarity.
• Multilingual skills are a significant plus.

Responsabilidades

• Review AI-generated data entries for accuracy and completeness.
• Simulate data entry to test AI handling of messy inputs.
• Audit AI-produced data for errors in categorization.
• Tag and classify data samples to assist AI models.
• Compare AI outputs against established data entry standards.

Conocimientos

High-volume data entry

Data processing

Database management

Accuracy

Attention to detail

Speed and efficiency

Data literacy

Communication skills

Multilingual capabilities

Herramientas

Microsoft Excel

Google Sheets

Airtable

SQL

Access

Confluence

Notion

Descripción del empleo

Prolific in Barcelona is seeking Data Entry Clerks to aid in AI training and evaluation. The role involves working with real data to review and correct AI outputs while ensuring accuracy. Candidates should have experience in data entry, a sharp eye for detail, and strong communication skills.

The ideal candidate must be proficient with tools like Excel and SQL and should possess a PayPal account for payment. This position offers $25 per hour for data tasks.