Support the Match Group team in data labeling and review processes, ensuring high-quality output while collaborating with cross-functional teams to provide insights and maintain confidentiality.
Prior experience in Trust & Safety, content moderation, QA, or data labeling
Strong attention to detail and a commitment to high-quality output
Clear written and verbal communication, especially when documenting rationale or edge cases
Ability to interpret platform policies and apply them consistently across data review tasks
Comfort working independently in a structured queue-based environment
Experience working across multiple brands, languages, or international markets
Willingness to learn and adapt across different platform ecosystems
Comfort with ambiguity in early-stage projects or exploratory analysis
Education Stipend
Annual training allowance for professional development and ERG membership opportunities and events
Health Insurance
Medical, mental health, and wellness benefits to support your overall health and well-being
Company Gatherings
We host company events where our employees get to know each other and build a sense of connection and belonging!
Paid Parental Leave
20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts
Paid Time Off
Generous PTO and 14 paid holidays so you can unplug
Match Group builds a diverse portfolio of dating apps, including industry leaders like Tinder, Hinge, and OkCupid, focused on fostering meaningful human connections. With a user base spanning the globe, Match Group delivers innovative technology solutions tailored to help people find love and build relationships in a safe and supportive environment. Their unique approach combines cutting-edge technology with a deep understanding of human interactions, making them a key player in the online dating space.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Analyst Q&A's