Create an account for powerful AI tools, award-winning courses, and access to our vibrant community.
Already have an account?
Join 250,000+ professionals and teams at Microsoft, Shopify, and even NASA. 🚀
Already have an account? Login
Find the best remote jobs. Answer a few questions and we'll deploy a powerful assistant to help you search, create alerts, and more.
1 What roles are you open to?
2 Experience level
3 Work style
Did you know? If memory is enabled, Writing.io can remember your job search preferences and help you to improve your resume, craft customized outreach and more.
Category
Review and rate text, webpages, and images to provide feedback on AI search technology relevance and quality.
Headquarters: Las Vegas, Nevada
URL: https://jobs.telusdigital.com/search/jobs?cfm5=Artificial+Intelligence&ns_category=artificial-intelligence
We are looking for an independent, flexible, remote opportunity where you can help improve AI-powered search technology from the comfort of your home? If you're curious, internet-savvy, and enjoy evaluating online content, this freelance project could be a great fit.
Â
A Day in the Life of a Content Reviewer - US
In this role, you will analyze and provide feedback on text, webpages, images, and other types of online content for leading search engines using a specialized online platform.
Â
By reviewing and rating search results for relevance and quality, you will help improve the overall search experience for millions of users around the world, including yourself.
Join our global community and put your skills to work supporting one of the world's leading search technologies.
Â
Service RatesÂ
The rate of pay is $0.2333 per completed task, with an estimated earning potential of $14 per hour. Compensation is based on tasks completed and project availability. Estimated earnings may vary depending on task volume and program requirements including, quality, and productivity, in accordance with the program's quality standards and guidelines.
Â
Please note that only one member per household may participate in this program. If it is identified that more than one person from the same household is participating in the TELUS Digital Rating Program, all associated accounts may be removed from the program.
Â
Independent Contractor Relationship
This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital.
Â
Qualification Process
No previous professional experience is required to apply for this opportunity. However, participation in this project requires meeting the basic requirements and successfully completing the qualification process.
Â
Basic Requirements
• Excellent written and verbal communication skills in English
• Must have resided in the United States for the past three consecutive years
• Familiarity with current and historical business, media, sports, news, social media, and cultural affairs in the United States
• Active use of Gmail and social media platforms
• Experience using web browsers to navigate and interact with a variety of online content
• Daily access to a reliable broadband internet connection
• Access to a smartphone (Android 5.0 or higher, or iOS 14 or higher)
• Access to a personal computer
Â
Assessment
You must complete an English language assessment, pass an open book qualification exam, and complete an ID verification in order to be successful for this role. These assessments will determine your suitability for the position.
To apply: https://weworkremotely.com/remote-jobs/telus-digital-content-reviewer-us-5
Provides Portuguese language feedback and annotations to train multimodal AI models.
Test and provide feedback on AI notification-sorting workflows on Google Pixel devices while using apps naturally and completing daily check-in forms.
Hindi AI Product Tester
Active Project Status: This project is now live, and we are urgently onboarding participants to begin immediately. Because we are moving quickly, we kindly ask that you keep a close eye on your communication (email and messages) after applying. It is essential that you respond promptly so we can get you cleared and ready to start without delay.
Location: 100% Remote, global
Device: Applicants must own a qualifying Google Pixel device for the duration of the project
Compensation:USD $140.00 upon successful completion of the 14 qualified submissions (each submission should take 10–15 minutes of activity per day)
Project Requirements
The Project
We are seeking detail-oriented and motivated speakers to participate in an upcoming notification sorting project.
Participants will use a Google Pixel 9 or newer device throughout the project period while interacting naturally with apps that generate notifications. Participants will complete daily project tasks involving notification organization/sorting workflows and provide related feedback/documentation as instructed.
Participants will also complete a short daily feedback/check-in form throughout the duration of the pilot to assist with participation tracking and troubleshooting support.
This project is part of an ongoing effort to improve emerging mobile AI and notification-management technologies for international users.
Workload
Duties
Engagement Requirements
All participants must have, or be willing to create, an Upwork account. The project will be managed via the Upwork platform.
While participating in this project, adherence to the confidentiality terms outlined in the Upwork User Agreement is required. Any information accessed or received related to this project is confidential and may not be shared or disclosed to third parties.
Participants must:
Use their own qualifying Google Pixel device.
Qualifying Device Examples
Google Pixel 9
Google Pixel 9 Pro
Google Pixel 10
Google Pixel Fold (newer generation)
Please note:Google Pixel 9a and Pixel 10a devices are not compatible with project requirements.
About Us:
As a global data company, Productive Playhouse “PPH”, is pioneering our approach to language and data services, while incorporating their roots as a production company. Originally creating content to support children’s language acquisition, our commitment to excellence, forward-thinking strategies, and world-wide cultural experience has proven key for delivering exceptional service.
Originally founded as an educational production company, Productive Playhouse made a mark with our award winning children’s series, which taught fundamental subjects through engaging and effective programming. This early success paved the way for our evolution into a comprehensive data services provider.
Since 2011, Productive Playhouse has expanded rapidly to offer an extensive suite of data services. Our current offerings include transcription, translation, linguistic analysis, rating, systems testing, localization, field and studio recording, language skill verification, and specialized data handling with a focus on sensitivity and diversity. Our commitment to innovation means we continually enhance our service portfolio to meet the evolving needs of our clients.
At Productive Playhouse, we are proud of our reputation for addressing complex challenges with agility and delivering premium, secure data solutions across diverse environments. Our dynamic team is dedicated to maintaining the highest standards and ensuring exceptional service every time.
Disclaimer:
All engagements are contingent upon successful completion of a background screening. Productive Playhouse is committed to diversity and inclusion across our global contractor network. We welcome applicants of all backgrounds and abilities.
Evaluates and rates music outputs to provide feedback for AI model training and improvement.
Records voice samples in Japanese and English to create training data for machine learning audio models.
Record first-person videos of everyday manual tasks to train AI models on real-world human activities.
Collect and record data in French and English to help train AI models for language development projects.
Captures gameplay data and interaction patterns to help train and improve AI systems through hands-on gameplay expertise.
Tests AI product functionality and provides feedback on AI system outputs using a personal device.
Labels and annotates bioacoustic audio data to train AI models for animal communication research, ensuring dataset quality and optimizing annotation workflows.
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
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.
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.
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.
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.
Label and annotate bioacoustic audio data to create training datasets for AI models that decode animal communication.
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
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.
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.
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.
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.
Reviews and labels transcription/subtitling outputs to improve AI voice model quality through feedback and annotation.
Reviews AI-generated transcripts and applies punctuation, capitalization, and formatting rules to convert them into readable display text.
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.
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.
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.
Review and format AI-generated transcripts by applying punctuation, capitalization, and text normalization rules to improve speech recognition systems.
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.
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.
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.
Review AI-generated transcripts and apply punctuation, capitalization, and formatting rules to convert them into natural, readable text while maintaining original content.
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.
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.
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.
Tests and evaluates AI-generated Portuguese content for accessibility compliance and quality, providing feedback to improve multilingual localization models.
Tests and evaluates Spanish language accessibility features, providing feedback to improve AI-driven localization and content quality.
Reviews and labels user-generated content in German to train content moderation systems and improve AI filtering accuracy.
Records daily life activities from a first-person perspective using a mobile app to generate training data for AI projects.
Evaluates machine translation outputs between English and Polish, providing feedback to improve AI translation models.