Job PurposeApply here!RWS recherche des personnes ayant le français comme langue principale pour nous aider sur des projets de collecte de données/d’enregistrement dans le cadre du développement de l’intelligence artificielle. Cela...

Job Title: AAA Gameplay Data Capture Specialist Job Type: Contract {Pay Per Task Model} Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems.

Thai AI Product TesterProject Type: Contract Location: 100% Remote, globalDevice: Applicants must own a qualifying Google Pixel device for the duration of the project Compensation: USD $125.

Annotator

Location: Remote (must be based in the United States)

Team: Research

Employment Type: 1 year, fixed-term contract

Compensation: 25 USD / hour, up to 30 hours a week

About Earth Species Project

Earth Species Project (ESP) is a non-profit using frontier AI to decode animal communication. We believe the exponential progress we’re seeing in AI offers new ways of looking at the world and expanding the ability of human beings to learn from other species. Our hope is that this will make a significant contribution to altering human perspective on how we relate to the rest of nature.

ESP partners with biologists and machine learning researchers at leading universities and institutions around the world, and we are honored to be supported by many forward-looking philanthropists and groups, including Reid Hoffman, Waverley Street Foundation, Allen Family Philanthropies, McGovern Foundation and the National Geographic Society. ESP’s work is scaling rapidly and we are seeking a detail-oriented, mission-driven accounting professional to join our team and help ensure the financial infrastructure that supports our research and growth is accurate, compliant, and built to scale.

About the Role

We are seeking two Bioacoustics Annotators to serve as an internal data consultant across multiple exciting projects. In this role, you will be the driving force behind creating datasets for training and evaluating AI models focused on processing animal communication data. Annotators will report to senior research scientists, who will oversee annotation efforts and provide additional training in applying analysis tools and interpretation of results.

Key Responsibilities

• Audio Annotation: Precision labeling of bioacoustic audio across various diverse projects, for example, vocalization onsets and offsets, species identification, and call type classification. While audio will be your main focus, annotation tasks may include other modalities of data (e.g., voice notes, video).

• Pipeline Optimization: Test and provide constructive feedback on our annotation software and user interfaces to help us streamline and speed up the data pipeline.

• Annotation Validation: Develop and use software to ensure annotation quality.

• Dataset integration and curation: Integrate datasets into pre-existing data infrastructure.

• Collaboration on Scientific Projects: Contribute to scientific publications by describing annotation methods in writing. Work with researchers to integrate your observations of data into scientific processes and help interpret results. Attend regular team meetings and discussions.

What We Are Looking For

• Education r equirements: Undergrad degree in relevant field (e.g., computer science, marine biology, zoology, acoustics, environmental science) or equivalent experience. Experience with tools like Raven is advantageous for this position.

• Bioacoustics experience: You have a solid background handling and interpreting acoustic data and familiarity with data collection protocols and common formats. We are not looking for a specific taxonomic specialty—your expertise could be in birds, marine mammals, insects, or something else.

• Coding experience: You are comfortable creating code (Python) to review annotations, summarize datasets with figures, and integrate datasets into ESP’s data platform. You are comfortable navigating software interfaces and interested in helping improve tool usability.

• Laser focus & patience: You possess a high level of attention to detail and enjoy deep-focus work.

• Strong communication skills: You are able to describe annotation methods verbally and in writing, and provide clear feedback on tools and annotation methodology.

• Enthusiasm: Data annotation can be repetitive, and it requires a high degree of concentration. This role is well-suited for someone who enjoys repetitive work and listening to different animal sounds

ESP is committed to equal employment opportunities regardless of race, color, religion, gender, gender identity or expression, pregnancy, sexual orientation, marital status, ancestry, national origin, genetics, disability, age, veteran status, and criminal history, consistent with legal requirements. We encourage folks of all backgrounds and perspectives to apply.

There will be 3 stages to the interview - an initial screening, a first interview with our researchers and a final stage, technical assessment. If interested, please apply by Aug 15, 2026. Applications will be reviewed on a rolling basis.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Annotator

Location: Remote (must be based in the United States)

Team: Research

Employment Type: 1 year, fixed-term contract

Compensation: 25 USD / hour, up to 30 hours a week

About Earth Species Project

Earth Species Project (ESP) is a non-profit using frontier AI to decode animal communication. We believe the exponential progress we’re seeing in AI offers new ways of looking at the world and expanding the ability of human beings to learn from other species. Our hope is that this will make a significant contribution to altering human perspective on how we relate to the rest of nature.

ESP partners with biologists and machine learning researchers at leading universities and institutions around the world, and we are honored to be supported by many forward-looking philanthropists and groups, including Reid Hoffman, Waverley Street Foundation, Allen Family Philanthropies, McGovern Foundation and the National Geographic Society. ESP’s work is scaling rapidly and we are seeking a detail-oriented, mission-driven accounting professional to join our team and help ensure the financial infrastructure that supports our research and growth is accurate, compliant, and built to scale.

About the Role

We are seeking two Bioacoustics Annotators to serve as an internal data consultant across multiple exciting projects. In this role, you will be the driving force behind creating datasets for training and evaluating AI models focused on processing animal communication data. Annotators will report to senior research scientists, who will oversee annotation efforts and provide additional training in applying analysis tools and interpretation of results.

Key Responsibilities

• Audio Annotation: Precision labeling of bioacoustic audio across various diverse projects, for example, vocalization onsets and offsets, species identification, and call type classification. While audio will be your main focus, annotation tasks may include other modalities of data (e.g., voice notes, video).

• Pipeline Optimization: Test and provide constructive feedback on our annotation software and user interfaces to help us streamline and speed up the data pipeline.

• Annotation Validation: Develop and use software to ensure annotation quality.

• Dataset integration and curation: Integrate datasets into pre-existing data infrastructure.

• Collaboration on Scientific Projects: Contribute to scientific publications by describing annotation methods in writing. Work with researchers to integrate your observations of data into scientific processes and help interpret results. Attend regular team meetings and discussions.

What We Are Looking For

• Education r equirements: Undergrad degree in relevant field (e.g., computer science, marine biology, zoology, acoustics, environmental science) or equivalent experience. Experience with tools like Raven is advantageous for this position.

• Bioacoustics experience: You have a solid background handling and interpreting acoustic data and familiarity with data collection protocols and common formats. We are not looking for a specific taxonomic specialty—your expertise could be in birds, marine mammals, insects, or something else.

• Coding experience: You are comfortable creating code (Python) to review annotations, summarize datasets with figures, and integrate datasets into ESP’s data platform. You are comfortable navigating software interfaces and interested in helping improve tool usability.

• Laser focus & patience: You possess a high level of attention to detail and enjoy deep-focus work.

• Strong communication skills: You are able to describe annotation methods verbally and in writing, and provide clear feedback on tools and annotation methodology.

• Enthusiasm: Data annotation can be repetitive, and it requires a high degree of concentration. This role is well-suited for someone who enjoys repetitive work and listening to different animal sounds

ESP is committed to equal employment opportunities regardless of race, color, religion, gender, gender identity or expression, pregnancy, sexual orientation, marital status, ancestry, national origin, genetics, disability, age, veteran status, and criminal history, consistent with legal requirements. We encourage folks of all backgrounds and perspectives to apply.

There will be 3 stages to the interview - an initial screening, a first interview with our researchers and a final stage, technical assessment. If interested, please apply by Aug 15, 2026. Applications will be reviewed on a rolling basis.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About ElevenLabsElevenLabs is an AI research and product company transforming how we interact with technology.We launched in January 2023 with the first human-like AI voice model. Today, we serve millions...

About the Project

TSMG is looking for contributors to support an AI language project focused on improving speech recognition systems.

You will review AI-generated transcripts and convert them into a natural, readable text format by applying punctuation, capitalization, and formatting rules. This is not a traditional transcription project—you will not transcribe audio or rewrite the content.

What You Will Do

• Review AI-generated lexical transcripts.

• Convert transcripts into display text by applying:

  • punctuation;

  • capitalization;

  • formatting for numbers, dates, times, currencies, and other text normalization rules.

• Keep all original words exactly as provided.

• Use the reference audio only when necessary to resolve punctuation or formatting.

• Follow detailed project guidelines and quality standards.

• Complete assigned tasks within project deadlines.

Requirements

• Excellent written skills in the target language.
• Strong attention to detail.
• Ability to follow detailed instructions consistently.
• Basic computer skills and a reliable internet connection.
• Ability to work independently and meet productivity targets.
• Previous experience in transcription, annotation, or linguistic projects is a plus but not required.
• Training will be provided before the project starts.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Project

TSMG is looking for contributors to support an AI language project focused on improving speech recognition systems.

You will review AI-generated transcripts and convert them into a natural, readable text format by applying punctuation, capitalization, and formatting rules. This is not a traditional transcription project—you will not transcribe audio or rewrite the content.

What You Will Do

• Review AI-generated lexical transcripts.

• Convert transcripts into display text by applying:

  • punctuation;

  • capitalization;

  • formatting for numbers, dates, times, currencies, and other text normalization rules.

• Keep all original words exactly as provided.

• Use the reference audio only when necessary to resolve punctuation or formatting.

• Follow detailed project guidelines and quality standards.

• Complete assigned tasks within project deadlines.

Requirements

• Excellent written skills in the target language.
• Strong attention to detail.
• Ability to follow detailed instructions consistently.
• Basic computer skills and a reliable internet connection.
• Ability to work independently and meet productivity targets.
• Previous experience in transcription, annotation, or linguistic projects is a plus but not required.
• Training will be provided before the project starts.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Project

TSMG is looking for contributors to support an AI language project focused on improving speech recognition systems.

You will review AI-generated transcripts and convert them into a natural, readable text format by applying punctuation, capitalization, and formatting rules. This is not a traditional transcription project—you will not transcribe audio or rewrite the content.

What You Will Do

• Review AI-generated lexical transcripts.

• Convert transcripts into display text by applying:

  • punctuation;

  • capitalization;

  • formatting for numbers, dates, times, currencies, and other text normalization rules.

• Keep all original words exactly as provided.

• Use the reference audio only when necessary to resolve punctuation or formatting.

• Follow detailed project guidelines and quality standards.

• Complete assigned tasks within project deadlines.

Requirements

• Excellent written skills in the target language.
• Strong attention to detail.
• Ability to follow detailed instructions consistently.
• Basic computer skills and a reliable internet connection.
• Ability to work independently and meet productivity targets.
• Previous experience in transcription, annotation, or linguistic projects is a plus but not required.
• Training will be provided before the project starts.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support...

About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support...

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs.

Gana dinero grabando actividades de tu vida diariaBuscamos personas para grabar actividades cotidianas desde una perspectiva en primera persona utilizando una aplicación móvil.

Join the CrowdGen team as an Independent Contractor for Project Vistula!

Headquarters: Malaysia

Kaya works with global clients to improve AI models and language systems.
For this project, we are supporting a client in enhancing their AI model’s ability to understand e-commerce product content across Mandarin (Traditional Chinese) and English.

We are seeking detail-oriented bilingual translation reviewers to review and improve machine-translated product titles and product descriptions/attributes. Your work will directly contribute to improving the quality and accuracy of the client’s AI model.

This is a translation and review task, all tasks are text-based.

• Professional profiency in Mandarin (Traditional Chinese writing) and English
• Strong attention to detail and ability to meet deadlines
• Have a strong communication and team work
• Bonus points:
• Experience in translation, localisation or linguistic review
• Familiarity with e-commerce product content

What You'll do?

• Review machine-translated e-commerce content for accuracy, clarity, and natural English usage
• Translate and improve product titles and descriptions where required
• Apply quality labels accurately based on provided criteria
• Follow project guidelines and reference materials consistently

Project Details:

• Commitment: Up to 40-48 hours per week
• Project duration: Start from February to March 2026
• Timelines may change; updates will be communicated in advance.

• Become a part in improving AI-driven product understanding
• Earn additional income remotely!
• Growth opportunities - with consistent and reliable work, you'll get invited to more projects!

To apply: https://weworkremotely.com/remote-jobs/chemin-product-translation-reviewer-mandarin-english