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Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid IT Assurance & Compliance sits at the intersection of technology, regulation, and business — translating regulatory obligations into controls that work in a fast-moving fintech environment. This role owns IT audit readiness, gap assessments, and day-to-day IT Assurance & Compliance work. Responsibilities: Own end-to-end preparation for IT audits and regulatory reviews — evidence gathering, coordination with tech teams, and timely delivery of complete audit packages; Conduct gap assessments against new regulatory requirements — document findings and propose remediation plans with clear owners and deadlines; Act as the subject-matter expert for IT compliance questions across the Company — translate regulatory requirements into practical implementation guidance for technical teams; Maintain audit-ready documentation across all IT Assurance & Compliance activities, including evidence repositories and compliance registers; Review and contribute to IT and Security policies, standards, and procedures — providing IT compliance input to ensure alignment with regulatory requirements and practical applicability across teams. Requirements: 4+ years in IT compliance, IT audit, or information security governance; Experience in FinTech, banking, or another regulated industry; Hands-on experience conducting gap assessments and building remediation plans — not just documenting findings, but driving them to closure; Working knowledge of at least two of: DORA, PCI DSS, SOC 2, or similar frameworks; awareness of how they interact in a multi-jurisdiction environment is a plus; Ability to work independently on complex, ambiguous IT compliance tasks; Strong communication skills — able to translate regulatory requirements into practical terms for technical teams and present compliance positions clearly to regulators and senior stakeholders; Attention to detail that extends to documentation: evidence packages, policy versions, control registers. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: New York Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 🙋What You Should Have   ·       At least 4+ years of prior Account management experience. ·       Previous crypto/blockchain experience a big plus but not necessary. Perhaps you enjoy this in your spare time? Even better! ·       Previous compliance/finance experience also a big plus. ·       Proven sales track record.  ·       Exceptionally strong relationship and people management capabilities. ·       A creative problem solver, results driven and self-motivated. ·       Possesses a resilient personality, proactive and reacts well under pressure. ·       Ability to handle changing requirements and unforeseen issues as they arise,  rapidly and positively in a timely manner. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science. 💥 What You Will Do ·       Be the primary point of contact and build long-term relationships with clients.  ·       Client champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. ·       Develop a trusted advisor relationship with key accounts, client stakeholders and executive sponsors. ·       Ensure the timely and successful delivery of our solutions according to customer needs and objectives. ·       Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. ·       Forecast and track key account metrics. ·       Update job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. ·       Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. ·       Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. ·       Monitor and analyze client’s usage of our product in order to be proactive if utilization drops. ·       Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. ·       Responsible for product adoption and in turn, client retention. ·       Liaise between the client and internal teams to advocate on the clients’ behalf.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Senior Product Designers at Flo play a pivotal role in shaping complex, system-level design solutions that elevate user experiences across the Flo app. This role combines deep expertise in UX thinking, interaction design, systemic thinking, AI tooling and visual craft with the ability to architect scalable frameworks and influence product direction. As a senior individual contributor, you will be tackling the most challenging design problems, setting the quality bar for the team, and ensuring designs are accessible, inclusive, and emotionally resonant. You will collaborate with product, engineering, research, medical, legal and content disciplines, leveraging high-fidelity prototypes to drive critical business decisions, raising craft excellence, and contributing significantly to Flo’s overarching vision. Your Experience Must have: 7+ years of professional experience designing mobile applications. Portfolio demonstrating expertise in systemic design, advanced prototyping skills, micro-interactions, and the ability to architect solutions with measurable product impact. Experience creating scalable frameworks, contribution to design systems, and interaction models. Proficiency in Figma and advanced prototyping tools (e.g., Protopie). Experience using motion and animation tools (e.g., Lottie, Rive, After Effects). Experience leveraging AI/LLM tools to accelerate design exploration and streamline concept validation (e.g., Claude, Vercel). Strong communication and presentation skills; ability to distill complex ideas into clear narratives and influence stakeholders. Deeply collaborative, with experience mentoring and raising the craft bar for design teams. Nice to have: Experience designing gamified or behaviour-change-driven experiences. Experience working in health tech or regulated industries What you'll be doing You'll be responsible for: Lead complex design projects (0 → 1), creating scalable frameworks and systems that support growth and innovation. Proactively tackle complex and ambiguous challenges, defining requirements and prioritising the most impactful workstreams to deliver clear, compelling, user-centred experiences. Design features, e2e flows, and experiments that align with user needs and business goals (e.g., engagement, retention, etc.). Produce high-fidelity prototypes and mock-ups using Figma or advanced tools, strategically utilising AI to streamline the concept-to-validation process. Develop and evolve interaction models, motion principles, and visual systems that scale across teams and inspire adoption. Collaborate closely with product managers, engineers, researchers, and content designers to deliver cohesive solutions. Proactively mentor peers, junior designers, and non-designers, providing actionable feedback and upskilling guidance to raise the overall craft bar. Advocate for emotionally intelligent, ethical design and ensure accessibility standards are upheld at every stage. Be a key contributor to our design system, ensuring accessibility, inclusivity, and scalability in all outputs. Integrate AI tools into day-to-day work. What you'll be measured on: Deliver complex design initiatives that significantly improve user engagement, retention, and user satisfaction outcomes. Strengthen Flo’s design systems, frameworks, animation and motion principles to enable scalable, high-quality design across teams. Raise team capability and craft standards by mentoring peers and contributing to a culture of design excellence. #LI-AJ1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £85,000 — £105,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: México, Mexico Workplace: remote Novakid is an English language school for children 4-12 years old, which allows children to remotely learn a foreign language according to a teaching program that meets European CEFR standards on an equal footing with their English-speaking peers (Novakid teachers are native speakers from the US, UK and other countries). We are an advanced B2C EdTech IT company of 450+ professionals. The Role: We are seeking a results-driven B2C Sales Team Lead to build, mentor, and lead our remote sales team in Mexico. You will be responsible for the entire sales cycle, from lead generation to conversion, driving revenue growth, and implementing scalable sales processes. This is a unique opportunity to shape the commercial success of a star region. Join us to lead our sales efforts in Mexico! You will: Provide Sales Leadership; Identify and implement opportunities for process automation and optimization, with a focus on scalability and driving significant growth; Take charge of growing our business in Mexico You have: Relevant B2C sales leadership work experience of 3+ years in remote distributed teams, preferably online sales. Hands-on B2C sales experience; Excellent understanding of online sales channels and digital marketing in the region; Strong analytical skills to provide for data based decisions; Proficiency in CRM systems and passion for using AI tools; English and Spanish languages should both be not lower than C1 (spoken and written). We offer: 100% remote work from any location. We are experts in managing distributed teams; Flexible working hours, not less than 40 hours per week; Options program available; A promising and innovative project in the thriving EdTech sector.

Location: Da Nang, Vietnam Workplace: remote Novakid is an English language school for children 4-12 years old, which allows children to remotely learn a foreign language according to a teaching program that meets European CEFR standards on an equal footing with their English-speaking peers (Novakid teachers are native speakers from the US, UK and other countries). We are an advanced B2C EdTech IT company of 450+ professionals. The Role: We are seeking a results-driven B2C Sales Team Lead to build, mentor, and lead our remote sales team in Vietnam. You will be responsible for the entire sales cycle, from lead generation to conversion, driving revenue growth, and implementing scalable sales processes. This is a unique opportunity to shape the commercial success of a star region. Join us to lead our sales efforts in Vietnam! You will: Provide Sales Leadership; Identify and implement opportunities for process automation and optimization, with a focus on scalability and driving significant growth; Take charge of growing our business in Vietnam You have: Relevant B2C sales leadership work experience of 3+ years in remote distributed teams, preferably online sales. Hands-on B2C sales experience; Excellent understanding of online sales channels and digital marketing in the region; Strong analytical skills to provide for data based decisions; Proficiency in CRM systems and passion for using AI tools; English and Vietnamese languages should both be not lower than C1 (both spoken and written). We offer: 100% remote work from any location. We are experts in managing distributed teams; Flexible working hours, not less than 40 hours per week; Options program available; A promising and innovative project in the thriving EdTech sector.

We are SmartyMe - one of the leading microlearning apps in the world, used daily by millions of users across Tier-1 markets. Our mission is to make learning a daily habit for everyone. We scale through performance marketing, product excellence, and systematic growth. User Acquisition is a core growth engine for us. While we already operate at scale across paid channels, Google Ads is a fast-growing and strategically important direction that we are actively expanding as a standalone, owned growth channel. We have strong internal UA expertise and infrastructure , and we’re ready to go deeper. This role is an opportunity to take full ownership and help build scalable acquisition systems on top of an already proven performance foundation. We work with a performance-based compensation model that allows us to pay at the top of the market for real results and impact. What You’ll Do: Own and scale channels end-to-end, managing campaigns hands-on with a strong focus on ROI Launch, structure, and optimize campaigns across Search, GDN, Demand Gen, and Performance Max Build and evolve campaign architecture, processes, and channel structure for scalable growth Design and execute testing frameworks, driving continuous performance improvements Develop and implement automation, rules, and optimization systems on top of the channel Collaborate with analytics and product teams to improve funnel performance and conversion efficiency Identify and scale growth opportunities across keywords, creatives, audiences, and funnels Increase spend in a controlled way while maintaining efficiency targets Maintain clear documentation of campaigns, testing, and processes What We’re Looking For: 3+ year in User Acquisition / Performance Marketing Strong hands-on experience with Google and Meta Experience with Search, GDN, Demand Gen (Discovery), and Performance Max Proven experience scaling paid acquisition budgets Experience with subscription or B2C digital products Strong analytical mindset and experimentation approach Solid understanding of funnels (web2web, web2app, app - any mix) Ability to independently own and develop a growth channel Nice to have: Experience with automation, rules, or scripts Experience building campaign structure and systems from scratch Advanced Excel / Google Sheets skills Experience working closely with product and analytics teams Previous experience in fast-scaling environments Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. Freedom: Flexible role based either remotely or hybrid from one of our offices in Cyprus(Limassol), Poland (Warsaw). Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 days of public holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are.

We are a rapidly growing company at the forefront of innovation in the EdTech industry. Our team is dedicated to shaping the future of education through groundbreaking products and services. As we continue to expand, we are seeking a talented and experienced Creative Producer to join our dynamic team. As a Creative Producer, you will play a crucial role in driving the creative vision and strategy for our EdTech product. You will collaborate closely with cross-functional teams to develop and implement innovative marketing campaigns that resonate with our target audience and drive user acquisition. Responsibilities: Set and execute social media and communication campaigns in alignment with product, research, and marketing strategies. Lead brainstorming sessions and team activities to generate creative ideas and concepts. Write comprehensive briefs for motion/graphic designers and content creators. Review and approve advertising creatives, providing edits and feedback as needed. Adapt advertising creatives for different platforms and target audiences. Analyze the effectiveness of advertising creatives and propose enhancements based on findings. Conduct market and competitor analysis to identify trends and opportunities. Research and implement new tools and approaches to optimize the creative process and drive results. Requirements: Minimum of 1 year of experience in positions such as Creative Specialist, Digital Marketing Manager, or Performance marketing. Proven experience working with B2C mobile applications. Proficiency in English at the Upper Intermediate level or higher. Strong analytical and creative skills demonstrated by past results. Experience analyzing key metrics of marketing campaigns. Research skills and ability to write technical tasks for designers. Copywriting skills and experience working with international markets are advantageous. Nice to have: Experience in video and UGC content creation. Familiarity with web and app marketing. B2C niche market experience. Creative testing experience with Meta. Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are.

Location: Colombia; Brazil; Argentina; Mexico; Chile; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a strategic and results-driven Senior Media Buyer to spearhead high-scale paid acquisition efforts. In this role, you will be responsible for managing substantial advertising budgets, optimizing complex campaigns, and driving measurable growth. This is a high-impact position designed for a seasoned expert who thrives on data-driven decision-making and remains at the forefront of the ever-evolving digital landscape. Key Responsibilities Develop, execute, and manage full-funnel media buying strategies across primary digital platforms. Monitor daily performance metrics to ensure KPIs are met and exceeded. Conduct rigorous A/B testing on creative assets, landing pages, and audience segments. Analyze large datasets to extract actionable insights and refine targeting parameters. Collaborate with creative teams to provide data-backed feedback on high-converting ad content. Manage budget allocations and scaling strategies to maximize ROI and efficiency. Stay ahead of platform updates, industry trends, and emerging technologies to maintain a competitive edge. Requirements 4+ years of professional experience in digital media buying and paid acquisition. Proven track record of managing significant monthly ad spends (e.g., $100k+) across platforms like Meta, Google, or TikTok. Deep technical proficiency with platform algorithms, tracking implementation, and attribution modeling. Exceptional analytical skills with the ability to turn raw data into strategic growth plans. High level of autonomy and the ability to thrive in a fast-paced, performance-oriented environment. Strong communication skills to articulate performance results and strategic shifts. Experience with multi-channel attribution software and advanced analytics tools. Background in direct-to-consumer (DTC) or e-commerce scaling. Creative strategy experience or basic proficiency in ad design principles. Benefits 🌎 Fully remote work environment 🚀 Career growth opportunities 📈 Long-term stability 🎯 Performance-based incentives🛠️ Access to top-tier marketing tools and resources 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Nai Wiang, Thailand Turn your eye for detail into a freelance opportunity! We are looking for Freelance Merchandising Auditors in Thailand, to evaluate store conditions and device functionality for a world-renowned tech brand. About the Role: As a Merchandising Auditor, you will visit retail stores to assess their environment, ensuring that devices are properly displayed, fully functional, and aligned with brand standards. Your insights will contribute to maintaining a premium retail experience. Key Responsibilities: Conduct in-store evaluations, assessing cleanliness, product presentation, and device functionality. Complete an online questionnaire with detailed insights and feedback. Capture high-quality picture to support your assessments. Each audit takes approximately 45-60 minutes per store. What We Offer: Flexible Work – Choose when and where you work. Recurring Projects – Audits occur 2 times a year, providing ongoing freelance opportunities. Impactful Experience – Play a key role in shaping customer experiences for a global tech leader. Referral Bonus – Earn rewards for every successful candidate you refer! About CXG: At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and nearly two decades of CX expertise, we are dedicated to redefining customer experiences for luxury brands. Join us and enjoy the freedom of working on the go with our mobile platform, CXG Live—where you can seamlessly manage missions, certifications, and feedback. Apply today and turn your eye for detail into an exciting freelance opportunity! เกี่ยวกับงาน: ในฐานะผู้ตรวจสอบการจัดวางสินค้า คุณจะเข้าเยี่ยมร้านค้าเพื่อตรวจสอบสภาพแวดล้อมของร้าน เพื่อให้แน่ใจว่าอุปกรณ์ได้รับการจัดวางอย่างเหมาะสม ใช้งานได้สมบูรณ์ และเป็นไปตามมาตรฐานของแบรนด์ ข้อมูลต่าง ๆ ของคุณจะช่วยสร้างประสบการณ์ระดับพรีเมียมให้กับลูกค้า หน้าที่หลัก: ตรวจสอบภายในร้าน เช่น ความสะอาด การจัดวางสินค้า และการทำงานของอุปกรณ์ กรอกแบบสอบถามออนไลน์ พร้อมให้ข้อมูลและข้อเสนอแนะอย่างละเอียด ถ่ายภาพ (ความละเอียดสูง) เพื่อสนับสนุนรายงานของคุณ ใช้เวลาตรวจสอบประมาณ 45–60 นาทีในแต่ละร้าน สิ่งที่เรามอบให้: งานที่ยืดหยุ่น โดยคุณสามารถเลือกเวลาทำงานและสถานที่ได้ตามต้องการ โครงการต่อเนื่อง – มีงานตรวจสอบปีละ 2 ครั้ง เปิดโอกาสให้ทำงานฟรีแลนซ์ได้อย่างต่อเนื่อง ประสบการณ์ที่มีคุณค่า – มีบทบาทสำคัญในการยกระดับประสบการณ์ของลูกค้าให้กับแบรนด์เทคโนโลยีระดับโลก โบนัสแนะนำ – รับรางวัลเมื่อแนะนำผู้สมัครที่ผ่านการคัดเลือก คุณสมบัติ: มีความเป็นระเบียบ ตรงต่อเวลา และใส่ใจในรายละเอียด ใช้เทคโนโลยีและเครื่องมือดิจิทัลได้อย่างมีประสิทธิภาพ มีสมาร์ทโฟนที่สามารถถ่ายภาพชัดเจนที่มีความละเอียดสูง มีประสบการณ์ใช้อุปกรณ์ iOS จะได้รับการพิจารณาเป็นพิเศษ หากมีทักษะภาษาอังกฤษจะได้รับพิจารณาเป็นพิเศษ สิทธิประโยชน์: ตำแหน่งงานฟรีแลนซ์ตามโครงการ ค่าตอบแทนตามโปรเจกต์ เวลาทำงานที่ยืดหยุ่น Requirements Highly organized, prompt, and detail-oriented. Proficient in using technology and digital tools effectively. Owns a smartphone capable of capturing clear, high-quality photos. Experience with iOS devices is strongly preferred. English language skills are a plus. Benefits This is a freelance , project-based position Project-based compensation Flexible working hours

Location: Chanthaburi, Thailand Turn your eye for detail into a freelance opportunity! We are looking for Freelance Merchandising Auditors in Thailand, to evaluate store conditions and device functionality for a world-renowned tech brand. About the Role: As a Merchandising Auditor, you will visit retail stores to assess their environment, ensuring that devices are properly displayed, fully functional, and aligned with brand standards. Your insights will contribute to maintaining a premium retail experience. Key Responsibilities: Conduct in-store evaluations, assessing cleanliness, product presentation, and device functionality. Complete an online questionnaire with detailed insights and feedback. Capture high-quality picture to support your assessments. Each audit takes approximately 45-60 minutes per store. What We Offer: Flexible Work – Choose when and where you work. Recurring Projects – Audits occur 2 times a year, providing ongoing freelance opportunities. Impactful Experience – Play a key role in shaping customer experiences for a global tech leader. Referral Bonus – Earn rewards for every successful candidate you refer! About CXG: At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and nearly two decades of CX expertise, we are dedicated to redefining customer experiences for luxury brands. Join us and enjoy the freedom of working on the go with our mobile platform, CXG Live—where you can seamlessly manage missions, certifications, and feedback. Apply today and turn your eye for detail into an exciting freelance opportunity! เกี่ยวกับงาน: ในฐานะผู้ตรวจสอบการจัดวางสินค้า คุณจะเข้าเยี่ยมร้านค้าเพื่อตรวจสอบสภาพแวดล้อมของร้าน เพื่อให้แน่ใจว่าอุปกรณ์ได้รับการจัดวางอย่างเหมาะสม ใช้งานได้สมบูรณ์ และเป็นไปตามมาตรฐานของแบรนด์ ข้อมูลต่าง ๆ ของคุณจะช่วยสร้างประสบการณ์ระดับพรีเมียมให้กับลูกค้า หน้าที่หลัก: ตรวจสอบภายในร้าน เช่น ความสะอาด การจัดวางสินค้า และการทำงานของอุปกรณ์ กรอกแบบสอบถามออนไลน์ พร้อมให้ข้อมูลและข้อเสนอแนะอย่างละเอียด ถ่ายภาพ (ความละเอียดสูง) เพื่อสนับสนุนรายงานของคุณ ใช้เวลาตรวจสอบประมาณ 45–60 นาทีในแต่ละร้าน สิ่งที่เรามอบให้: งานที่ยืดหยุ่น โดยคุณสามารถเลือกเวลาทำงานและสถานที่ได้ตามต้องการ โครงการต่อเนื่อง – มีงานตรวจสอบปีละ 2 ครั้ง เปิดโอกาสให้ทำงานฟรีแลนซ์ได้อย่างต่อเนื่อง ประสบการณ์ที่มีคุณค่า – มีบทบาทสำคัญในการยกระดับประสบการณ์ของลูกค้าให้กับแบรนด์เทคโนโลยีระดับโลก โบนัสแนะนำ – รับรางวัลเมื่อแนะนำผู้สมัครที่ผ่านการคัดเลือก คุณสมบัติ: มีความเป็นระเบียบ ตรงต่อเวลา และใส่ใจในรายละเอียด ใช้เทคโนโลยีและเครื่องมือดิจิทัลได้อย่างมีประสิทธิภาพ มีสมาร์ทโฟนที่สามารถถ่ายภาพชัดเจนที่มีความละเอียดสูง มีประสบการณ์ใช้อุปกรณ์ iOS จะได้รับการพิจารณาเป็นพิเศษ หากมีทักษะภาษาอังกฤษจะได้รับพิจารณาเป็นพิเศษ สิทธิประโยชน์: ตำแหน่งงานฟรีแลนซ์ตามโครงการ ค่าตอบแทนตามโปรเจกต์ เวลาทำงานที่ยืดหยุ่น Requirements Highly organized, prompt, and detail-oriented. Proficient in using technology and digital tools effectively. Owns a smartphone capable of capturing clear, high-quality photos. Experience with iOS devices is strongly preferred. English language skills are a plus. Benefits This is a freelance , project-based position Project-based compensation Flexible working hours

Location: Al Hofuf, Saudi Arabia Eram Talent is seeking a skilled CIP / Sterilization Operator to join a reputable company in Saudi Arabia. The CIP (Clean-In-Place) / Sterilization Operator will be responsible for executing cleaning and sterilization procedures for production equipment and pipelines to ensure aseptic conditions are maintained according to industry standards. This role is vital for maintaining product quality, safety, and hygiene within manufacturing environments such as food, beverage, pharmaceutical, or biotech facilities. Responsibilities Operate CIP system according to standard operating procedures (SOPs). Monitor cleaning cycles, temperatures, chemical concentrations, and flow rates. Prepare cleaning solutions and ensure proper handling of chemicals. Inspect equipment before and after cleaning for proper sanitation. Record cleaning data accurately in logs or digital systems. Report any malfunctions, deviations, or safety concerns immediately. Collaborate closely with production, quality control, and maintenance teams to coordinate cleaning schedules and troubleshoot issues. Adhere to safety, hygiene, and environmental regulations at all times. Requirements Diploma or degree in Chemical Engineering, Biotechnology, Food Technology, or related field preferred. Minimum 2 years of experience operating CIP and sterilization systems in food, pharmaceutical, or biotech industries. Strong knowledge of CIP processes, sterilization techniques, and cleaning validation protocols. Ability to read and follow SOPs and technical documentation accurately. Good mechanical aptitude and troubleshooting skills for equipment operation. Attention to detail and commitment to maintaining hygiene and safety standards. Ability to work in shifts and in a team environment. Basic computer skills for data documentation and reporting.

Location: Remote - Missouri Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Illinois Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Florida Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - New Mexico Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - South Dakota Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Arkansas Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Wyoming Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .