Remote AI Analyst
Vancouver, WA · On-site
... data annotation, content review, quality assurance, or fintech-related projects is a plus.
Remote AI Analyst
Vancouver, WA · On-site
... data annotation, content review, quality assurance, or fintech-related projects is a plus.
Remote AI Analyst
Vancouver, WA · On-site
... data annotation, content review, quality assurance, or fintech-related projects is a plus.
Remote AI Analyst
Vancouver, WA · On-site
... data annotation, content review, quality assurance, or fintech-related projects is a plus.
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Au...
Portland, OR · On-site
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Au...
Portland, OR · On-site
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Data Annotation information
Is data annotation a legitimate?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.
What does a typical workday look like for someone in a Data Annotation role?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
What is a Data Annotation job?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.
What does a data annotator do?
A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
Do people actually make money on data annotation?
Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.
Is it hard to get hired for data annotation?
Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What job categories do people searching Data Annotation jobs in Sandy, OR look for? The top searched job categories for Data Annotation jobs in Sandy, OR are:
What cities near Sandy, OR are hiring for Data Annotation jobs? Cities near Sandy, OR with the most Data Annotation job openings:
Other
This job post has expired today. Applications are no longer accepted.
Job description
Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.
About Turing:
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.
Role Overview :
Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.
Duration of Contract - 10 weeks
Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap
What You'll Do Day-to-Day :
- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.
- Review and document evaluation results, ratings, and observations using Google Sheets.
- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.
- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.
Requirements :
- Must be based in the United States and actively use Google Wallet.
- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.
- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.
- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.
- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.
- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.
- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.
About turing
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Palo Alto, CA, US
Year founded
2018