Role: Spanish Language Evaluator
About the Role
We’re looking for contract, remote Spanish-speaking annotators to evaluate AI-generated content with a sharp eye for detail and cultural nuance. You’ll be making judgment calls on whether outputs actually make sense, stay consistent, and reflect real-world expectations.
What You’ll Do
What We’re Looking For
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Rise Data Labs is seeking experienced finance professionals for a short-term AI training and evaluation project.We're looking for professionals with strong real-world finance expertise who can apply their knowledge and judgment to develop challenging finance tasks, evaluate AI-generated work, and establish clear criteria for high-quality responses.What You'll DoYou'll use your finance expertise to help evaluate and improve advanced AI systems on complex, realistic financial work.Develop sophisticated finance-related prompts and tasks grounded in real-world professional work.Test and evaluate AI-generated work for accuracy, reasoning, completeness, and professional quality.Develop clear evaluation rubrics and scoring criteria, identifying meaningful errors and gaps.Research and provide reliable supporting sources or reference materials as needed.Refine your work based on testing, feedback, and project guidelines.Specific methodologies, tools, and training will be provided to selected experts.Who You AreWe're looking for finance professionals with experience in areas such as investment banking, private equity, investment research, asset management, financial modeling and valuation, corporate finance/FP&A, accounting, or related analytical fields.Strong candidates bring solid financial expertise, analytical judgment, and attention to detail. Prior AI training or evaluation experience is helpful, but not required.Project DetailsRate: $150/hourStart Date: Immediately Availability: Ideally 40 hours per week for two weeks; minimum 20 hours per weekSelected candidates will complete project-specific onboarding and training before beginning work
Rise Data Labs is seeking experienced finance professionals for a short-term AI training and evaluation project.We're looking for professionals with strong real-world finance expertise who can apply their knowledge and judgment to develop challenging finance tasks, evaluate AI-generated work, and establish clear criteria for high-quality responses.What You'll DoYou'll use your finance expertise to help evaluate and improve advanced AI systems on complex, realistic financial work.Develop sophisticated finance-related prompts and tasks grounded in real-world professional work.Test and evaluate AI-generated work for accuracy, reasoning, completeness, and professional quality.Develop clear evaluation rubrics and scoring criteria, identifying meaningful errors and gaps.Research and provide reliable supporting sources or reference materials as needed.Refine your work based on testing, feedback, and project guidelines.Specific methodologies, tools, and training will be provided to selected experts.Who You AreWe're looking for finance professionals with experience in areas such as investment banking, private equity, investment research, asset management, financial modeling and valuation, corporate finance/FP&A, accounting, or related analytical fields.Strong candidates bring solid financial expertise, analytical judgment, and attention to detail. Prior AI training or evaluation experience is helpful, but not required.Project DetailsRate: $150/hourStart Date: Immediately Availability: Ideally 40 hours per week for two weeks; minimum 20 hours per weekSelected candidates will complete project-specific onboarding and training before beginning work
Rise Data Labs is seeking advanced Physics and Chemistry experts to support the training and evaluation of state-of-the-art AI systems.We're looking for subject-matter experts who can apply deep scientific knowledge to challenging AI evaluation problems, assess AI-generated reasoning, and identify technically meaningful errors or limitations within their field.What You'll DoApply your subject-matter expertise to advanced AI training and evaluation workDevelop or evaluate challenging problems within your area of expertiseAssess AI-generated reasoning for technical accuracy and identify subtle errors or failure modesWhat We're Looking ForMaster's degree required; PhD strongly preferred in Physics, Chemistry, or a closely related scientific disciplineAdvanced academic, research, laboratory, or industry expertiseStrong analytical reasoning and ability to evaluate complex scientific workPrior AI training, evaluation, benchmarking, or LLM experience is a plusFlexible, remote contract work starting ASAP.
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Rise Data Labs is seeking advanced Mathematics and Statistics experts to support the training and evaluation of state-of-the-art AI systems.We're looking for subject-matter experts who can apply deep quantitative knowledge to challenging AI evaluation problems, assess AI-generated reasoning, and identify technically meaningful errors or limitations within their field.What You'll DoApply your subject-matter expertise to advanced AI training and evaluation workDevelop or evaluate challenging problems within your area of expertiseAssess AI-generated reasoning for technical accuracy and identify subtle errors or failure modesWhat We're Looking ForMaster's degree required; PhD strongly preferred in Mathematics, Statistics, Applied Mathematics, Probability, Operations Research, or a closely related quantitative fieldAdvanced academic, research, or professional expertise within your specializationStrong analytical reasoning and ability to evaluate complex mathematical or statistical workPrior AI training, evaluation, benchmarking, or LLM experience is a plusFlexible, remote contract work starting ASAP.
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including journalism, editorial, and video/film production. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. Job Overview As a Media & Information AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for journalism, editorial, and video/film production work. This role goes beyond traditional annotation and labeling — you'll author realistic, economically valuable media tasks and rubrics based on your own professional experience, then grade AI-generated deliverables against them. What You'll Do Create realistic work scenarios based on your own professional experience — e.g., drafting or editing an article, fact-checking and sourcing, writing a script or shot list, reviewing a rough cut or storyboard Supply the kinds of reference materials you'd normally work from (source documents, style guides, scripts, production notes) Write detailed rubrics specifying exactly what a correct, publication-ready or production-ready deliverable requires — accurate sourcing, correct style/format, sound editorial or production judgment Grade AI-generated deliverables (often written pieces, scripts, or production documents) against your rubric Join calibration sessions with other experts to ensure consistent scoring across the benchmark Preferred Qualifications Prior hands-on experience as a Journalist, Editor, Writer, Producer, Director, or Video Editor Comfort reviewing detailed written or production work product against professional standards Prior experience with AI model training, evaluation, or benchmark development is a plus What We Offer At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment. We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in media, journalism, and video production.