Digital Content Evaluation Specialist

Welo Data is an award-winning data transformation company that works on some of the world’s largest AI programs. We are excited to invite Indian English speakers to join our team as Digital Content Evaluation Specialists. In this role, you will set the standard for digital content, specifically for English as spoken in India. You will review real-world data to improve the content to the highest quality. Content you will review includes, but is not limited to: · Mobile and smart TV apps · AI assistant responses · Music, videos, books, and podcasts That means that your work will directly impact the experience for end-users worldwide. This Role Is Great for People Who: · Are intimately familiar with English as spoken in India · Love a wide variety of content such as music, movies, TV shows, podcasts, and books · Always notice issues in digital and streaming content that could easily be fixed. Project Details Job Title: Digital Content Evaluation Specialist Pay Rate: ~$3.00/hour Location: Remote (Must be located in India) Schedule: Flexible; Average 4 hours per day Start Date: ASAP Employment Type: Freelance/Independent Contractor Project Duration: Ongoing. Requirements · Required: Linguistic competency in Indian English equal to CEFR C2 · Required: Must be located in India · Required: Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow) · Required: Must sign a Non-Disclosure Agreement to protect proprietary and confidential information · Preferred: Broad cultural literacy and media awareness across generations and demographics · Preferred: Understanding of digital content ecosystems and distribution channels · Preferred: Understanding of online community dynamics and trends · Preferred: Deep interest and knowledge in modern technological developments.

Welo Data is an award-winning data transformation company with offices across the world. We’ve quietly worked on some of the biggest tech projects in history, from data localization and translation to generative AI and deep learning.