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.
This opportunity is only available to candidates currently residing in the following U.S. states: Alabama, Florida, Georgia, Indiana, Kansas, Kentucky, Missouri, Montana, New Hampshire, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, and Tennessee.
Overview
Are you passionate about pop culture, films, television, and the ever-evolving world of streaming media? We are seeking meticulous Entertainment Media Content Reviewers to join our team!
In this role, you’ll conduct quality audits of contributor evaluations, ensuring accuracy, consistency, and alignment with project-specific guidelines. Your insights will help maintain high-quality standards and improve the performance of our contributors, ensuring model outputs resonate with fans of cinematic universes, episodic storytelling, and pop culture at large🎬
What you will do:
- Review contributor evaluations of model-generated responses to ensure adherence to project-specific guidelines and rubric dimensions.
- Verify that contributors consistently apply all instructions, constraints, and evaluation criteria when assessing model responses.
- Confirm that contributors accurately identify factual errors, hallucinations, or missing information in model responses, ensuring evaluations reflect whether responses fulfill the user query.
- Ensure contributor-selected options align appropriately with rubric dimensions and are justified by the evidence present in the model response.
- Review open-text comments provided by contributors, ensuring they identify areas of opportunity, weaknesses, or limitations that may not have been captured by rubric criteria.
- Provide detailed feedback on contributor performance, highlighting areas for improvement and ensuring evaluations are consistently high-quality.
Project Details:
- Duration: Until March 20th
- Location: Remote in the US
- Job Type: Freelance
- Pay Rate: $22 USD /hour
- Expected capacity: 20 hours per week
Requirements:
Proven Expertise in one or more of the following areas (relevant degrees such as a Bachelor’s in Film and Media Studies, Journalism, or related fields are highly preferred):
- Film and media studies
- Entertainment journalism, film criticism, or media commentary
- Content analysis focused on movies, TV series, and streaming platforms
- Entertainment blogging, reviewing, or significant contributions to pop culture communities
- Pop culture commentary and media writing
Strong familiarity with:
- Narrative structures, character arcs, and continuity across cinematic universes and episodic storytelling.
- Contextual and cultural references specific to entertainment media.
Proven experience in:
- Roles involving AI data annotation, content quality review, search quality rating, or similar.
- Evaluating content using structured grading criteria and providing thoughtful, constructive feedback.
- Performing in-depth fact-checking and identifying factual inaccuracies in content.
- Meticulous attention to detail and the ability to identify nuanced or subtle issues in contributor evaluations.
- Ability to work independently and manage workflows effectively in a remote environment.
- Familiarity with data annotation platforms and model evaluation tools.
Preferred Qualifications:
- Prior experience conducting quality audits, content review, or evaluation in an entertainment-related capacity.
- In-depth understanding of current trends in pop culture and the entertainment industry.
- Ability to interpret prompts referencing specific storylines, characters, franchises, and broader entertainment contexts.
- Active use of major streaming platforms and strong familiarity with their catalog of films, television series, and original content