We are seeking a Mathematics Specialist fluent in Brazilian Portuguese to join our AI Training team. In this role, you will combine mathematics expertise with language proficiency to help train, evaluate, and improve advanced AI models. You will review AI outputs, create and verify math problems, and ensure accuracy and cultural relevance in both Portuguese and English.
Review, annotate, and evaluate AI-generated responses in mathematics, including algebra, calculus, statistics, and applied math.
Create, verify, and refine math problems, solutions, and explanations in both Portuguese and English.
Localize and adapt mathematical explanations to Brazilian Portuguese, ensuring precise terminology and notation.
Provide constructive feedback to improve AI reasoning, clarity, and accuracy.
Develop benchmark datasets and testing materials to measure AI performance.
Collaborate with AI researchers, linguists, and subject-matter experts to enhance training methods.
Ensure academic accuracy, linguistic quality, and cultural appropriateness of all content.
Bachelor’s degree or higher in Mathematics, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
Strong problem-solving ability across core mathematical domains.
Native or near-native fluency in Brazilian Portuguese and professional proficiency in English.
Ability to explain complex mathematical concepts clearly and accessibly.
Excellent attention to detail and critical thinking skills.
Comfortable using digital tools for annotation, evaluation, or content creation.
Experience in teaching, tutoring, curriculum development, or AI/ML data annotation is a plus.
Opportunity to contribute to cutting-edge AI development.
Remote, flexible work environment.
Competitive compensation based on experience and expertise.
Collaborative team of mathematicians, linguists, and AI specialists.
Ready to contribute your expertise to this project?
You'll be guided through our expert onboarding process
Rise Data Labs partners with leading AI teams to evaluate and improve next-generation AI systems. We work at the intersection of technology, human judgment, and real-world business outcomes, helping teams ship higher-quality AI faster.We’re looking for a Strategic Growth Intern who wants to move fast, learn the AI ecosystem up close, and help build a high-trust network of senior leaders. You’ll work hybrid so you can help run NYC-based dinners and salons, plus webinars and roundtables for VP and C-level leaders across AI, product, data, and engineering.If you’re high-agency, organized, and excited to run programming end-to-end, this role will put you in the room with the people shaping the industry.What you’ll doBuild and run executive programming end-to-end Own the planning and execution of dinners, roundtables, salons, and webinars for senior AI leadersCreate event themes that feel timely and high-signal (ex: evals, agentic AI, model quality, AI safety, enterprise adoption)Manage the full event workflow: concept → guest list → outreach → RSVP tracking → run-of-show → hosting → follow-upGrow and activate a senior networkResearch and identify VP/C-level leaders at frontier labs and enterprise AI teamsWrite thoughtful outreach messages that get responses (email + LinkedIn)Build relationships with repeat attendees and turn events into an ongoing community flywheelOperate like a mini producer + operatorCoordinate venues, food, run-of-show, speaker prep, and day-of logisticsBuild lightweight systems to make events repeatable (templates, checklists, guest tracking, post-event notes)Keep momentum post-event: recap notes, follow-ups, introductions, and next stepsContent and distribution (optional, but a plus)Turn events into short content assets: key takeaways, speaker quotes, mini write-ups, or LinkedIn postsHelp package programming into simple “why attend” narratives that attract great peopleYou’re a great fit if you areHigh agency: you take direction once, then run with it and shipComfortable with ambiguity: you can make decisions with incomplete informationSocially confident and professional: you can host a room, greet senior guests, and keep things running smoothlyOrganized and detail-oriented: logistics don’t slip through the cracksTasteful and high-signal: you know what makes an event worth attending for a busy execExcited about AI: you’re curious and genuinely want to learn the space fastRequirementsBased in (or able to commute to) New York City and available for hybrid workAbility to attend evening events in NYC as needed (dinners, salons)Strong written communication (you can write outreach that sounds human and compelling)Ability to manage multiple moving pieces without constant supervisionNice-to-havesExperience running events, communities, student orgs, conferences, salons, or speaker seriesFamiliarity with the AI ecosystem (labs, startups, enterprise AI teams, trends)Comfort using tools like Notion/Airtable, Google Suite, Calendly, and AI tools to move fasterWhat you’ll getDirect collaboration with the CEO at a venture-backed AI companyExposure to senior leaders across the AI industry, fastA front-row seat to how AI teams think about quality, evaluation, and real-world deploymentA role where your work is visible and meaningful: if you’re great, you’ll quickly own major pieces of programming
We’re looking for a sharp, detail-oriented Junior Project Manager to work directly with the Head of Product. This is a hands-on role at the center of how we run client accounts, data production, platforms, and internal operations.You’ll be exposed to client management, data annotation workflows, developer coordination, and commercial operations in a fast-moving AI data environment. This is not a passive coordination role, you’ll be expected to learn quickly, take ownership, and operate with precision.What you’ll doYou’ll assist across all core product and operations functions, including:Client & Account SupportSupport day-to-day management of a major enterprise clientTrack requirements, feedback, deliverables, and follow-upsHelp prepare materials for client updates, reviews, and proposalsProject & Platform OperationsOversee workflows on annotation platforms we operateTrack project progress, quality metrics, edge cases, and blockersCoordinate with developers on feature requests, bugs, and improvementsAnnotation & Workforce ManagementHelp manage annotators and reviewers (task distribution, QA follow-ups, escalations)Ensure instructions, guidelines, and updates are clearly communicatedMonitor quality issues and flag inconsistencies earlyOperational & Commercial SupportAssist in offer preparation, scoping, and pricing inputsSupport outreach and coordination with partners or contributorsMaintain documentation, trackers, and internal process clarityWhat we’re looking forMust-havesExtremely strong attention to detailHigh learning velocity and ability to adapt in an ambiguous, fast-changing environmentClear written communication (English required; Arabic a plus)Comfortable juggling multiple workstreams without dropping contextProactive mindset — you spot issues before they become problemsStrong plusPrevious experience doing data annotation or review workFamiliarity with annotation tools, guidelines, or QA processesExperience working with product, ops, or technical teamsBasic understanding of AI/ML data workflows (training data, evals, quality)Who this role is forThis role is ideal for someone who:Wants real ownership and exposure, not a narrow task boxIs early in their career but serious about building operational and product intuitionEnjoys structure, systems, and making chaotic processes run smoothlyIs comfortable working closely with senior leadership and clientsGrowthYou’ll get direct mentorship from the Head of Product and exposure to:Enterprise AI data clientsPlatform and tooling decisionsPricing, scoping, and commercial strategyScaling annotation and evaluation operations
Rise Data Labs is a VC-backed AI data company partnering with leading AI labs and enterprise teams to power training, evaluation, and continuous improvement for generative AI systems. We are building the next-generation infrastructure for human judgment in AI, and we are looking for a Founding GTM Lead to help shape how we grow. This is a rare opportunity to join a small, high-trust founding team at the moment where the market is forming and the relationships matter.The RoleWe are hiring a Founding GTM Lead to shape how Rise Data Labs goes to market. This is not a transactional sales role. You will work directly with AI researchers, applied science leaders, PMs, and platform teams to understand how human judgment fits into their training and evaluation workflows, and help translate that into long-term partnerships.You will own strategic discovery, relationship-building, and revenue motion, building on top of an existing client base while helping define how this category is sold.This role is full-time and remote, with occasional travel for key customer meetings.What You’ll DoLead go-to-market strategy and early sales motion for Rise Data LabsEngage AI researchers, applied scientists, PMs, and technical decision-makers at AI labs and enterprise teamsRun thoughtful outbound and inbound conversations to understand buying behavior and evaluation criteriaIdentify where human data and post-training workflows break todayBuild trusted relationships that lead to pilots, partnerships, and long-term programsOwn end-to-end sales cycles, including scoping, positioning, and commercial discussionsCollaborate closely with product, operations, and the founding team to shape offerings and messagingBring structured insights back to leadership to inform product direction and GTM strategyWho This Is ForThis role is a strong fit if you:Have experience in strategic sales, business development, or partnerships with AI, ML, data, or research-heavy organizationsAre comfortable selling into complex, technical buying environments without oversellingUnderstand enterprise or lab-driven purchasing processes and stakeholder dynamicsCan translate technical capabilities into clear business valueEnjoy early-stage environments where the rules are still being writtenWant real ownership and influence, not just a titleYou don’t need to be an ML engineer. You do need credibility, curiosity, and strong instincts.Compensation & BenefitsCompetitive base salaryPerformance-based bonus and/or commission (uncapped)Meaningful early-stage equityHealth InsuranceFlexible PTO and paid holidaysPaid parental leaveRemote-friendly with occasional travelLearning and development supportSalary Range: 150,000 - 200,000
Rise Data Labs builds high-fidelity data services to power AI systems. We partner with leading research teams and industry stakeholders to improve model quality through human oversight, evaluation, and annotation. Our work spans image, language, and multimodal systems, with a focus on real-world applicability, trust, and safety.About the RoleWe are looking for Image Annotation Specialists to support a project in collaboration with a leading AI research lab. The work is straightforward: you’ll be shown an image and a list of possible labels — your job is to carefully select the correct ones. Accuracy is critical, as your contributions will directly help train cutting-edge AI systems.Responsibilities Review images and apply the correct labels from a given list. Follow clear annotation guidelines to ensure consistency. Double-check your work to maintain high quality. Meet project deadlines while keeping accuracy as the top priority. Requirements Prior experience with data annotation platforms such as Appen, Scale AI, Lionbridge (TELUS International AI), Sama, iMerit, Hive AI, CloudFactory, TaskUs, Remotasks, Defined.ai, Clickworker, Playment, Cogito Tech, Rise Data Labs, or similar. Strong attention to detail, spotting small differences in images is key. Comfortable working independently and following structured instructions. Good communication skills and willingness to adapt to updates in guidelines.
About Rise Data Labs Rise Data Labs builds high-fidelity data services to power AI systems. We partner with leading research teams and industry stakeholders to improve model quality through human oversight, evaluation, and annotation. Our work spans image, language, and multimodal systems, with a focus on real-world applicability, trust, and safety. What You’ll Do As an Image Evaluator, you will be part of a project that supports an AI research initiative. Your role involves: Reviewing and assessing outputs generated from AI systems. Judging how well outputs align with given prompts and established quality standards. Using guidelines/rubrics to provide ratings and structured feedback. Helping refine evaluation criteria over time as part of the research collaboration. Who You Are (Ideal Candidate) Comfortable judging visual content with a good eye for detail, quality, and alignment. Able to follow guidelines and apply them consistently. Reliable, communicative, and detail-oriented. Curious about AI and excited to contribute to its improvement. Requirements Access to a stable internet connection and a computer capable of handling visual tasks. Ability to meet productivity and quality thresholds. Familiarity or comfort with AI / generative models, visual content, or creative/graphic domains is helpful. Willingness to work under confidentiality agreements and evolving guidelines. Preferred Qualifications Prior experience working with data vendors such as Scale AI, Surge AI, Sama, Labelbox, Appen, or Lionbridge. Background in content evaluation, annotation, or quality assurance for AI/ML projects. Exposure to research-oriented environments or human-in-the-loop workflows. Ability to adapt quickly to changing rubrics and instructions. Why Join Rise Data Labs Collaborate directly with an AI research team shaping cutting-edge models. Contribute to meaningful projects with real impact in the AI space. Flexible remote work arrangements. Gain experience in evaluation processes central to the future of AI.
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 economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI. Job OverviewJoin Rise Data Labs as an AI Training Specialist with a focus on Bash scripting. In this role, you will leverage your coding expertise to train and enhance AI models through meticulous data annotation and validation of AI-generated content. Your domain expertise will play a crucial role in ensuring high-quality data for machine learning applications across various industries.Key ResponsibilitiesTrain and improve AI models through effective data annotation and labeling.Review and validate AI-generated content for accuracy and relevance.Provide domain expertise to enhance AI model performance based on project requirements.Collaborate with cross-functional teams on diverse AI training projects.Ensure high-quality data standards are maintained for machine learning applications.Required Skills and QualificationsProficient in Bash scripting with hands-on experience.Strong understanding of AI and machine learning concepts.Attention to detail and high-quality assurance skills.Ability to work independently and manage multiple projects simultaneously.Excellent communication and collaboration skills.Preferred QualificationsExperience with other programming languages such as Python or R.Familiarity with data annotation tools and platforms.Background in data science or a related field.What We OfferAt Rise Data Labs, we value our team members and provide a supportive work environment. We offer competitive hourly rates, opportunities for professional development, and the chance to work on cutting-edge AI projects that are shaping the future of technology.