Job Classification Specialist

iSoftStone; Barcelona; Presencial; A tiempo parcial

Descripción de la vacante

A leading company in job market services seeks part-time reviewers to analyze and categorize job postings. This role offers flexible hours to individuals with keen attention to detail and strong Spanish fluency. Candidates will engage in research to ensure detailed accuracy and contribute to the clarity of job descriptions.

Formación

• Strong attention to detail and ability to analyze job descriptions.
• Basic research skills to clarify job roles using online resources.
• Ability to work independently and meet deadlines.

Responsabilidades

• Review job postings to determine and assign the correct skill level.
• Research job details online to better understand roles and requirements.
• Identify postings that don’t fit the criteria and provide reasons for skipping them.

Conocimientos

Attention to detail

Analytical skills

Fluency in Spanish

Descripción del empleo

Job Type : Part-time (up to 30 hours / week)

Salary : $12 / hr

Start Date : Immediate

Job Description :

iSoftStone is seeking detail-oriented individuals to review and categorize job postings based on their skill level. You’ll read job titles and descriptions to understand the work involved and assign an appropriate skill level. This role involves some research to clarify job details and ensuring accurate labeling of job postings.

Key Responsibilities :

• Review job postings to determine and assign the correct skill level.
• Research job details online to better understand roles and requirements.
• Identify postings that don’t fit the criteria and provide reasons for skipping them.
• Add comments or flag postings that are unclear or borderline cases.

Qualifications :

• Strong attention to detail and ability to analyze job descriptions.
• Basic research skills to clarify job roles using online resources.
• Fluency in Spanish from Spain.
• Ability to work independently and meet deadlines.
• Prior experience with job market research or data annotation is a plus but not required.

Application Process :

Submit your resume for consideration. Selected candidates will attend a one-time meeting call before starting.