Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world's most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:
ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.
Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.
Digital Content Evaluation Specialist Overview
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 American 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 United States.
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 United States
·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
·Regularly use modern technologies like streaming apps, smart phones, smart TVs, and AI
Project Details
Job Title:Digital Content Evaluation Specialist
Pay Rate:~$11.00/hour (paid per task)
Location:Remote (Must be located in United States)
Schedule:Flexible; Average 4 hours per day
Start Date:ASAP
Employment Type:Freelance/Independent Contractor
Project Duration:Ongoing
Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged on the project do not misrepresent their identity, location, or financial details.
Requirements
·Required: Linguistic competency in American English equal to CEFR C2
·Required: Must be located in United States
·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
When You Join Welo Data...
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.
When you join Welo Data, you'll have the opportunity to bring your career to the next level:
·Structured learning opportunities that grow your skills, knowledge, and specialties
·24-hour, 6-day-a-week real human support from our Community Experience Team
·Access to long-term partnerships and unique projects across a variety of industries and content types
·Corporate and executive career opportunities to bolster your resume and grow your career
We are beyond proud to serve our clients, our employees, and the end-users of all the projects we work on. We hope you will join us on this journey into the future.
#LI-JG1
To Apply:
Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis.
We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule.