Note from FlexJobs Staff: The employer states this position is remote from anywhere in the world. AI Quality Control Specialist - Brazilian Portuguese Department:Quality Assurance About the Role: TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for a Brazilian Portuguese Quality Control Specialist who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows. What You Will Do: - Evaluate AI-generated content in Brazilian Portuguese (PT-BR) across multiple task types (annotation, review, validation). - Apply structured quality frameworks to assess: - Accuracy and factual correctness. - Utility (alignment with user intent). - Language quality (fluency, tone, clarity). Identify and flag: - Hallucinations and misinformation. - Logical inconsistencies. - Cultural or linguistic mismatches. - Provide clear, structured feedback to improve upstream quality. - Detect patterns of errors across batches and contribute to quality insights. - Support calibration efforts to ensure consistent scoring across teams. - Contribute to guideline refinement and evaluation standards. Who You Are: - Native Brazilian Portuguese (PT-BR) with strong command of English. - Highly analytical with strong critical thinking skills. - Comfortable working with ambiguous and evolving guidelines. - Detail-oriented with the ability to maintain consistency at scale. - Clear communicator, able to justify decisions and provide actionable feedback. - Naturally skeptical—able to question outputs and validate information. Preferred Background: - Journalism, editorial, or investigative research. - Linguistics, translation, or localization QA. - Content moderation / Trust & Safety. - Experience in AI data annotation, evaluation, or QA. What Success Looks Like: - High consistency in quality scoring across tasks. - Strong alignment with QA benchmarks. - Ability to detect non-obvious quality issues. - Feedback that improves annotator performance and overall output quality. - Contribution to a scalable, predictable quality system. Why TrustScale: At TrustScale, we operate AI talent as a supply chain—structured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.

About the Client Our client is a payment gateway and card processing provider for merchants. They focus on card acquiring, global payment acceptance, pay-in and pay-out flows, flexible settlements, and regional payment methods. Their product is centered around an in-house built gateway and customizable integrations. Role Overview As an Automation Team Lead, you will guide the AI automation strategy across the company. You will identify and prioritize processes ripe for automation, design and deploy AI solutions, and lead a team of developers to optimize and integrate these solutions effectively. Key Responsibilities - Define and execute the AI automation strategy across the company - Identify and prioritize business processes suitable for automation (especially data-heavy and calculation-driven workflows) - Design and implement AI-based solutions, including AI agents/personas for operational tasks - Collaborate with cross-functional teams to integrate AI solutions into existing systems - Monitor and optimize the performance of automated processes to ensure efficiency and scalability - Provide leadership and mentorship to a team of automation developers, fostering a culture of innovation Requirements - Proven experience leading or building projects from scratch (ideally in AI or automation) - Strong understanding of system architecture and solution design - Hands-on experience with AI tools, LLMs, or automation platforms (or strong motivation to work deeply in this space) - Proficiency in programming languages such as Python or Java, commonly used in AI and automation - Good communication skills in Russian - Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions Key Soft Skills - Startup mindset - Strong stakeholder management and communication skills - Ability to work autonomously and make data-driven decisions What We Offer - Competitive salary aligned with experience - Collaborative and transparent team culture - High-impact role in a scaling fintech company - Recognition of personal milestones and achievements - Social benefits

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational statistics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Strong written English (C1+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $43 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational statistics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Strong written English (C1+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $43 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.