Join our innovative team as a Data Analyst where you will play a vital role in enhancing the accuracy and relevance of machine learning data. This position offers a unique opportunity to evaluate search results, news articles, images, and transit information for their relevance and accuracy. You will leverage your keen research skills to analyze and validate machine learning outputs, ensuring that users have a personalized and efficient experience with technology. This role provides the flexibility to work from the comfort of your own home, allowing you to set your own hours around your personal commitments. Whether you are a student balancing studies, a retiree seeking a rewarding challenge, or a parent looking for a work-from-home opportunity, this role is designed to fit your lifestyle.
IT Languages:
Python
SQL
R
Analyze and validate machine learning data outputs to ensure accuracy and relevance across various digital mediums.:
Review search engine results for relevance and accuracy;; Evaluate news articles and image outputs for validity;; Utilize research skills to assess machine learning data;; Provide feedback to improve machine learning algorithms
Spoken Languages:
English;; German
Skillset:
Research skills
Data analysis
Machine learning understanding
Familiarity with search engines
Social media knowledge
Soft Skills:
Analytical mindset
Attention to detail
Self-motivation
Time management
Adaptability
Qualifications:
Fluent in English and German
Strong research capabilities
In-depth local knowledge of cultural affairs and media
Good understanding of geography and culture
Years of Experience:
0
Location:
Europe
Job Benefits:
Work up to 20 hours per week
Competitive pay rates
Opportunity to develop research skills
Flexible working hours
Remote work from home
Working Conditions:
Part Time, Remote
Employment Type:
Contract
Company Culture:
We foster an inclusive and supportive environment that values flexibility and work-life balance. Our team is dedicated to continuous learning and improvement, encouraging personal and professional growth.
Opportunities For Advancement:
Skill development, Potential for full-time employment, Career progression in data analysis