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Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level German language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Italian language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level French proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: China (Remote); Taiwan (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity WHAT YOU’LL DELIVER - Task Engineering: Evaluating Coding Agents. - Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. - Prompting & Translation: finding failure points where AI does not work, in your native language - Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). - Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). - Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. QUALIFICATIONS - Experience: 1+ years of industry experience in software engineering. - Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. - Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. - Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. - Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. - Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: - Encoding/decoding robustness and Unicode normalization. - Locale-dependent conventions (collation, casing, non-Gregorian dates). - Text I/O, toolchain interoperability, and safe string operations. - (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Thailand Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Arabic Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Germany Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Arabic Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: United States; North Carolina; Illinois; California; Arizona; Florida; Frankfurt; Georgia; Idaho; Indiana; Iowa; Kansas; Louisiana; Maine; Massachusetts Workplace: remote Transcriber – Audio & Annotation Projects  Location - all of the US We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in American English Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Finland Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Finnish Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Portugal Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Portuguese Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Vietnam Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Arabic Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Czechia Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Czech Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Denmark Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Danish Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Egypt; Tunisia; Saudi Arabia; Algeria Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Arabic Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Spain Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Indonesian Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: France Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in French Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: India; Suriname; United States Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Hindi Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Hungary Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Hungarian Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Indonesia Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Indonesian Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work