Data Analyst
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| Company Name | Peroptyx |
| Company Type | Private |
| Job Type | Part-Time |
| Salary Range | Market Competitive |
| Location | Greater Malmö Metropolitan Area |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
Peroptyx is seeking an enthusiastic Entry-Level Data Analyst to join their team in the Greater Malmö Metropolitan Area. This is a part-time opportunity perfect for individuals with 0 experience looking to kickstart their career in data analysis and machine learning training data.
Company Overview
Peroptyx is a leading provider of location-based machine learning (ML) training data and model evaluation solutions for global consumer technology brands. They prioritize data security and identity innovations to minimize bias and errors, delivering high-quality solutions from over 30 countries. The Peroptyx platform offers personalized authentication, onboarding, education, performance analytics, and compensation experiences for its global community of domain expert data analysts, ensuring superior training data to accelerate ML model performance improvement.
Quick Details
- Salary Range: Market Competitive
- Job Type: Part-time
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Perform data annotation tasks with high accuracy and consistency.
- Evaluate machine learning models according to specified guidelines and criteria.
- Contribute to ensuring the quality and integrity of training data.
- Assist in identifying and reporting data patterns or anomalies.
- Adhere to strict data security and privacy protocols.
- Collaborate with the team to enhance data collection processes.
Requirements
- No prior experience is required; a strong willingness to learn is essential.
- Exceptional attention to detail and a commitment to accuracy.
- Proficiency in basic computer usage and navigating web-based tools.
- Strong written communication skills in English.
- Ability to work effectively both independently and within a team environment.
- Commitment to maintaining data quality and confidentiality.
Benefits
- Opportunity to work with cutting-edge machine learning technology.
- Flexible part-time work schedule to support work-life balance.
- Gain invaluable experience in the rapidly growing AI and ML industry.
- Access to comprehensive training and professional development resources.
- Be part of a dynamic and global community of data experts.
- Contribute to innovations that impact leading consumer technology brands.