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Overnight Ai Data Rater Jobs (NOW HIRING)

Bizlink

AI Data Center Power Architect

Fremont, CA

$69.75 - $89.75/hr

... rating). * Experience collaborating with OEMs, chip vendors (NVIDIA, AMD, Intel), and data center ... Familiarity with AI reference architectures (e.g., NVIDIA designs supporting 132 kW/rack)

BizLink Group

AI Data Center Power Architect

Fremont, CA · On-site

$200K - $350K/yr

... rating). * Experience collaborating with OEMs, chip vendors (NVIDIA, AMD, Intel), and data center ... Familiarity with AI reference architectures (e.g., NVIDIA designs supporting 132 kW/rack)

Apple

Senior Manager - AI Data Operations

Austin, TX · On-site

... AI Data Operations who is passionate about delivering production-grade machine learning and ... Design quality frameworks including gold sets, inter-rater reliability systems, audits, and error ...

Lotus Health AI, Inc

AI Engineer

San Francisco, CA · On-site

You'll help build and operate the AI + data systems behind AI-driven primary care. * This is a ... Build monitoring and analytics for background jobs to monitor failure rates and identify partner vs ...

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How much do overnight ai data rater jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for overnight ai data rater in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater, and why are they important?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

What are some common challenges faced by Overnight AI Data Raters, and how can they be managed?

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What are Overnight AI Data Raters?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

What cities are hiring for Overnight Ai Data Rater jobs? Cities with the most Overnight Ai Data Rater job openings:
What are the most commonly searched types of Ai Data Rater jobs? The most popular types of Ai Data Rater jobs are:
What states have the most Overnight Ai Data Rater jobs? States with the most job openings for Overnight Ai Data Rater jobs include:
Overnight Ai Data Rater jobs near you
AI Data Center Power Architect

AI Data Center Power Architect

Bizlink

Fremont, CA

$69.75 - $89.75/hr

Other

Posted 26 days ago

Job description

Power Architect

The Power Architect is responsible for developing and defining the overall architecture for power connectors, power whips, and liquid-cooled busbar systems within AI servers and racks, ensuring compliance with performance, reliability, and scalability requirements. The architect will ensure designs adhere to relevant industry standards and regulations, including electrical safety and thermal management. Additionally, the role involves collaborating with cross-functional teams, including Sales, PLM (Product Lifecycle Management), and R&D, to create product roadmaps and architectures, and promote them to customers. Staying updated on technological advancements and emerging trends in power systems, the architect will apply insights to optimize designs. Participation in industry organizations such as OCP (Open Compute Project) and OIF (Optical Internetworking Forum) will be required to drive business opportunities and customer partnerships.

This position is ideally based in the Bay Area, but candidates in Seattle or Austin will also be considered.

Essential Duties and Responsibilities:

  • Design & Optimization: Architect power distribution systems (connectors, cables, busbars, whips) for AI servers, ensuring scalability, reliability, and thermal efficiency. Focus on high-current applications (e.g., 130–3,000A) and alignment precision (±1.00mm) to prevent damage in dense GPU/TPU environments.
  • Power Estimation and Modeling: Build and maintain accurate power estimation models and tools for AI server and rack-level systems. Conduct performance versus power analyses, support early architectural exploration, and collaborate with hardware/software teams to improve Perf/Watt metrics and total cost of ownership for next-generation AI platforms.
  • Compliance & Standards: Ensure designs meet IEC 61439, IEEE, and safety regulations, including seismic and thermal management requirements (e.g., -40°C to +125°C operating range).
  • Cross-Functional Collaboration: Partner with sales, PLM, and R&D to align product roadmaps with AI infrastructure demands (e.g., NVIDIA GPU power needs) and customer requirements.
  • Innovation & Trends: Integrate emerging technologies like liquid-cooled busbars, low-GWP cooling, and advanced materials (high-conductivity copper alloys) to enhance power density and efficiency.
  • Industry Engagement: Represent the organization in consortia like OCP, OIF, and IEEE to drive standardization and partnerships, leveraging reference architectures for rapid deployment.

Requirements:

  • Minimum: Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, or related field.
  • Preferred: Master's/PhD in Power Mechanics, Thermal Engineering, or Applied Physics
  • 5 - 10 years in power architecture for high-density systems (100kW-1MW/rack), including AI/ML infrastructure.
  • Expertise in power connector/busbar design (e.g., liquid-cooled, solder-tail, screw-mount), high-current systems (up to 3,000A), and thermal management such as liquid-cooling for AI workloads.
  • Proficiency in IEC/IEEE standards, CAD tools, and system-level validation (e.g., 25kA short-circuit rating).
  • Experience collaborating with OEMs, chip vendors (NVIDIA, AMD, Intel), and data center operators to optimize AI server and rack power delivery.
  • Strong communication skills to bridge technical teams and business stakeholders.
  • Knowledge of dynamic workload management (e.g., BBU/powershelf).
  • Familiarity with AI reference architectures (e.g., NVIDIA designs supporting 132 kW/rack).

Background Check Requirement

Please note that all offers of employment with BizLink Technology, Inc are contingent upon the successful completion of a background check. This may include verification of employment history, education, and other relevant credentials. Failure to successfully complete the background check process will result in the withdrawal of the employment offer.

Equal Employment Opportunity (EEO) Statement:

BizLink Technology, Inc. is an equal opportunity employer and is committed to providing a work environment free from discrimination. We celebrate diversity and are dedicated to creating an inclusive workplace for all employees. All employment decisions at BizLink Technology, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other status protected by the laws or regulations in the locations where we operate.

Compensation Disclosure:

The salary range provided for this position is based on the anticipated compensation for a candidate with relevant experience and qualifications. Please note that the final salary offer may vary depending on individual skills, experience, and other factors. Compensation details will be discussed during the interview process and finalized in accordance with company policies.

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