job description
We are looking for highly motivated and talented candidates who will provide and/or review high quality data annotation for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence.
Key job responsibilities
As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but not limited to) the below:
Meets business metrics and goals, i.e., SLA, production, and quality targets
Works with minimal direction
Maintains records of day- to-day work by updating trackers or workflow tools as necessary
Follows SOP/guidelines or managers instructions and ensures output is quality compliant
Contributes to project improvement and operational excellence ideas, as applicable
Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA
Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders
Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules
Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products
Troubleshooting issues related to process and conduct root cause analysis if required
Familiarity with online retail (e-commerce) Graduate or equivalent
Proficient in Spanish language. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma
Good English language proficiency: verbal, writing, reading and comprehension
Strong analytical and communication skills
Passion for delivering a positive customer experience, and maintain composure in difficult situations
Ability to effectively and efficiently complete challenging goals or assignments within defined SLA
Role: Data Science & Analytics - Other
Industry Type: Internet
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
Education
UG: Any Graduate
PG: Any Postgraduate
