Role Description Lightly AG is looking for analytical and driven Finance Professionals to help us translate complex finance concepts into AI-readable formats. This role suits someone with a background in finance, economics, or engineering with experience in any of the following: - Corporate Finance - Private Equity / Venture Capital - M&A / Investment Banking - Asset Management - Accounting The minimum expected time commitment for this position is 10 hours/week. You’ll be a good fit if you have: - 2-3 years of experience working at top firms in investment banking - Experience in at least some of the following tools: - Excel - PowerPoint - Bloomberg - BAMSEC - Edgar SEC - FactSet - Thomson Reuters Checkpoint - BNA Tax Portfolios - AlphaSense - Accounting Software - PitchBook - Capital IQ - Intralinks - DealRoom Qualifications - Fluent in English - Strong analytical and quantitative skills - Confident working with financial models and valuation frameworks - Clear and precise communication - Based in Zurich Benefits - A front-row seat to how a YC-backed deep tech company is built - Direct exposure to the inner workings of startup leadership - Flexible working hours and the ability to shape your role over time - Competitive compensation tailored to experience and scope of work Company Description Lightly AG is an ETH and HSG spin-off pioneering in machine learning and computer vision. We're funded by Y Combinator and top-tier investors.

Title: Part-Time Instructor | English Location: Greensboro United States Job type: Onsite Time Type: part Time Job id: Job Description: This is a repost. Previous applicants need not re-apply for this temporary position. The Department of English invites applications for Part-Time Instructors for fall 2026. Part-Time Instructors are hired on a semester-by-semester basis to teach English courses. The successful candidate is expected to teach introductory and advanced level courses by the Department of English. Responsibilities include, but are not limited to: teach face-to-face and/or online First-Year Composition (FYC)/Humanities/Creative Writing courses, attend training and/or review sessions. Additional duties will include, but are not limited to, academic advising of students, supporting student organizations, participating in program development and assessment. The candidate will be expected to work cooperatively with faculty and staff in the department and university. Primary Function of Organizational Unit The English faculty comprises distinguished scholars and passionate teachers, who care about helping students become the intellectuals and leaders of tomorrow. This department teaches students how to think critically as well as how to understand and communicate in a diverse world. We have had graduates go into drama, law, mass media, politics and education. N.C. A&T's Department of English offers an undergraduate major and minor and one graduate degree (M.A.). Through the College of Education students can also pursue a M.A.T in English Education. Students working towards a B.A. in English take a core of ten classes and then choose an area of concentration in African-American Literature, Creative Writing, English Literature or Technical Writing. A B.S. is offered in Undergraduate Teaching (Secondary Education). Our classes address a variety of innovative and traditional subjects, from literary surveys to focused examinations of subjects such as film, science fiction and hip-hop culture. Minimum Requirements Candidates must have a Master's degree in English or English Composition at time of application. Preferred Years Experience, Skills, Training, Education Candidates with 1-3 years teaching experience at the University or Community College level and with background in Rhetoric and Composition are preferred. Required License or Certification N/A Is this position eligible for a remote or hybrid work arrangement, consistent with university and state policies.

Title: AI Fact-Checking & Response Evaluation Reviewer (Japanese) Location: Japan Remote Department: Production Job Description: AI Fact-Checking & Response Evaluation Reviewer (Japanese) Mission of the Role Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps. Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information. Your expertise will help build more reliable, trustworthy, and human-centered AI systems. About the Role At TrustScale, we believe AI improves when people are willing to question it. As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from. Good AI is built on good judgment. TrustScale is seeking experienced Japanese -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from. As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems. This is not a traditional annotation, translation, or data-entry role. This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations. The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information. This is a remote freelance opportunity with flexible hours and payment in USD. Remote | Freelance | Flexible Schedule | Paid in USD We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. What You'll Do - Review and evaluate AI-generated responses in Japanese - Verify factual claims using reliable online sources and supporting evidence - Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions - Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps - Evaluate response quality, relevance, completeness, and alignment with user intent - Detect inconsistencies, unsupported claims, contradictory information, and missing evidence - Apply independent judgment rather than relying solely on automated decisions - Challenge AI-generated conclusions when evidence suggests a different outcome - Provide clear quality feedback and rationale for review decisions - Participate in training, calibration, and quality alignment sessions conducted in English - Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements - Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes What Success Looks Like Successful reviewers: - Verify information before accepting conclusions - Challenge AI-generated decisions when evidence suggests otherwise - Distinguish between supported, unsupported, and contradictory claims - Remain objective when evaluating information - Demonstrate consistency across complex review tasks - Maintain strong productivity while preserving quality standards - Use evidence rather than assumptions to make decisions - Take ownership of quality outcomes - Demonstrate reliability and commitment throughout the project lifecycle Required Qualifications - Native or near-native fluency in Japanese - Strong English proficiency, including the ability to understand guidelines and participate in training sessions - Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles - Excellent critical-thinking and analytical skills - Strong evidence-based decision-making abilities - Strong attention to detail and consistency - Ability to independently evaluate and challenge AI-generated conclusions - Ability to distinguish between factual support, contradiction, and insufficient evidence - Ability to interpret complex queries and assess response quality accurately - Comfortable working with structured data and AI-related projects - Comfortable working with ambiguity and incomplete information - Ability to pass a qualification assessment in English Preferred Qualifications - Experience reviewing AI training data or annotation projects - Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows - Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research - Background in journalism, research, education, editorial review, investigation, or content quality assessment - Experience providing quality feedback, coaching, or calibration support to reviewer teams - Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content Why Join TrustScale - 100% remote and flexible work environment - Paid in USD - Work on cutting-edge AI and language technologies - Collaborate with a global network of AI quality professionals - Long-term opportunities for high-performing contributors - Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles - Help shape how AI systems evaluate information and make decisions - Contribute directly to the development of safer, more reliable, and more trustworthy AI systems Qualification Process Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding. This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work. All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity. TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle.

Title: AI Fact-Checking & Response Evaluation Reviewer (Hindi) Location: IN Department: Production Job Description: Mission of the Role Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps. Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information. Your expertise will help build more reliable, trustworthy, and human-centered AI systems. About the Role At TrustScale, we believe AI improves when people are willing to question it. As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from. Good AI is built on good judgment. TrustScale is seeking experienced Hindi -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from. As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems. This is not a traditional annotation, translation, or data-entry role. This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations. The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information. This is a remote freelance opportunity with flexible hours and payment in USD. Remote | Freelance | Flexible Schedule | Paid in USD We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. What You'll Do - Review and evaluate AI-generated responses in Hindi - Verify factual claims using reliable online sources and supporting evidence - Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions - Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps - Evaluate response quality, relevance, completeness, and alignment with user intent - Detect inconsistencies, unsupported claims, contradictory information, and missing evidence - Apply independent judgment rather than relying solely on automated decisions - Challenge AI-generated conclusions when evidence suggests a different outcome - Provide clear quality feedback and rationale for review decisions - Participate in training, calibration, and quality alignment sessions conducted in English - Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements - Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes What Success Looks Like Successful reviewers: - Verify information before accepting conclusions - Challenge AI-generated decisions when evidence suggests otherwise - Distinguish between supported, unsupported, and contradictory claims - Remain objective when evaluating information - Demonstrate consistency across complex review tasks - Maintain strong productivity while preserving quality standards - Use evidence rather than assumptions to make decisions - Take ownership of quality outcomes - Demonstrate reliability and commitment throughout the project lifecycle Required Qualifications - Native or near-native fluency in Hindi - Strong English proficiency, including the ability to understand guidelines and participate in training sessions - Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles - Excellent critical-thinking and analytical skills - Strong evidence-based decision-making abilities - Strong attention to detail and consistency - Ability to independently evaluate and challenge AI-generated conclusions - Ability to distinguish between factual support, contradiction, and insufficient evidence - Ability to interpret complex queries and assess response quality accurately - Comfortable working with structured data and AI-related projects - Comfortable working with ambiguity and incomplete information - Ability to pass a qualification assessment in English Preferred Qualifications - Experience reviewing AI training data or annotation projects - Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows - Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research - Background in journalism, research, education, editorial review, investigation, or content quality assessment - Experience providing quality feedback, coaching, or calibration support to reviewer teams - Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content Why Join TrustScale - 100% remote and flexible work environment - Paid in USD - Work on cutting-edge AI and language technologies - Collaborate with a global network of AI quality professionals - Long-term opportunities for high-performing contributors - Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles - Help shape how AI systems evaluate information and make decisions - Contribute directly to the development of safer, more reliable, and more trustworthy AI systems Qualification Process Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding. This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work. All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity. TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle. About TrustScale TrustScale, an e2f company, empowers organizations to scale AI initiatives with confidence. We deliver high-quality data, evaluation, and AI solutions that help leading technology companies build more accurate, reliable, and trustworthy AI systems. At TrustScale, we believe that human judgment remains essential to building trustworthy AI. As an AI Fact-Checking & Response Evaluation Reviewer, your evaluations help determine whether AI-generated conclusions are supported by evidence, grounded in facts, and aligned with user needs. Your expertise helps define what good looks like—and your judgment becomes part of the foundation from which AI learns. Limited openings available. Early applications are encouraged.