
1001 - 5000 employees
đ€ Artificial Intelligence
đ€ B2B
âïž SaaS
Artificial Intelligence âą B2B âą SaaS
Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.
đ July 27
đČđœ Mexico â Remote
đ” $6 / hour
âł Contract/Temporary
đĄ Mid-level
đ Senior
âïž Content Marketing Manager
đ» Ghost score 7%
đŁïžđȘđž Spanish Required
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1001 - 5000 employees
đ€ Artificial Intelligence
đ€ B2B
âïž SaaS
Artificial Intelligence âą B2B âą SaaS
Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.
âą Review contributor evaluations of model-generated responses to ensure adherence to project-specific guidelines and rubric dimensions. âą Verify that contributors consistently apply all instructions, constraints, and evaluation criteria when assessing model responses. âą Confirm that contributors accurately identify factual errors, hallucinations, or missing information in model responses, ensuring evaluations reflect whether responses fulfill the user query. âą Ensure contributor-selected options align appropriately with rubric dimensions and are justified by the evidence present in the model response. âą 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. âą Provide detailed feedback on contributor performance, highlighting areas for improvement and ensuring evaluations are consistently high-quality.
âą Proven expertise in one or more of the following areas: âą - Film and media studies âą - Entertainment journalism, film criticism, or media commentary âą - Content analysis focused on movies, TV series, and streaming platforms âą - Entertainment blogging, reviewing, or significant contributions to pop culture communities âą - Pop culture commentary and media writing âą Strong familiarity with: âą - Narrative structures, character arcs, and continuity across cinematic universes and episodic storytelling âą - Contextual and cultural references specific to entertainment media âą Proven experience in: âą - Roles involving AI data annotation, content quality review, or search quality rating âą - Evaluating content using structured grading criteria and providing thoughtful, constructive feedback âą - Meticulous attention to detail and the ability to identify nuanced issues in content âą - Ability to work independently and manage workflows effectively in a remote environment âą - Familiarity with data annotation platforms and model evaluation tools âą Prior experience of reviewing, evaluating or analysing content in an entertainment-related capacity âą An in-depth understanding of current trends in pop culture and the entertainment industry âą The ability to interpret prompts referencing specific storylines, characters, franchises, and broader entertainment contexts âą Active use of major streaming platforms and strong familiarity with their catalog of films, television series, and original content
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