Punjabi Speaker - Data Analyst Fresher Job (Part time/Remote)

Job Description

About the job: Key responsibilities: 1. Verify business names and opening hours 2. Ensure accurate listing of routes on maps 3. Conduct all research and work independently Who can apply: Only those candidates can apply who: can work from 8:30 am - 5:30 pm Indian Standard Time (as the company is based outside of India & their local work timings are 4:00 am - 1:00 pm Greenwich Mean Time) Salary: ₹ 3,60,000 - 7,00,000 /year Experience: 0 year(s) Deadline: 2025-06-14 23:59:59 Skills required: English Proficiency (Spoken), Punjabi Proficiency (Spoken), Research and Analytics, Map Study and Data Analysis Other Requirements: 1. Fluent in English and Punjabi 2. Outstanding research skills 3. Should have good geographical and cultural understanding of India, along with excellent local knowledge 4. Must be living in India for a minimum of 5 consecutive years 5. Must pass an online open-book exam to verify your full understanding of the material and concepts 6. Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability 7. Good working knowledge of search engines, map applications, and familiarity with social media platforms 8. Strong analytical ability to learn, understand, and apply multiple sets of different instructions About Company: Peroptyx is a provider of location-based machine learning (ML) training data and model evaluation solutions to leading global consumer technology brands. Customers benefit from unique data security and identity innovations that minimize bias and errors in ML training data and model evaluation solutions delivered from 26 countries. The Peroptyx platform integrates personalized authentication, onboarding, use-case education, performance analytics, and compensation experiences for its global community of domain expert data analysts - who ensure Peroptyx always delivers higher quality training data and feedback to accelerate ML model performance improvement. Peroptyx Data Annotation and Model Evaluation solutions are designed for Product and Data Science leaders who place high fidelity, location-based training data at the heart of their AI.