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Overnight Ai Data Rater Jobs in Basking Ridge, NJ

SysMind Tech

AI/ML - Data Engineer Role

Manhattan, NY · On-site

$90 - $100/hr

Title - AI/ML - Data Engineer Role ( Must have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) Rate - $90 - $100/hr ( Depend on candidates ...

Castellum.AI

Software Engineer, Data

New York, NY · On-site +1

$100K - $130K/yr

We provide intelligence data, AI-driven screening across Sanction, PEPs, and Adverse Media, and AI Agents to resolve alerts. Our customers have seen results like reducing their false positive rate by ...

CYNET SYSTEMS

AI Lead Architect

Manhattan, NY · On-site

$75 - $80/hr

Deep knowledge of Entra ID, data boundaries, and enterprise-grade access control frameworks ... Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length ...

New

CYNET SYSTEMS

AI Lead Architect

New York, NY · On-site

$75 - $80/hr

Deep knowledge of Entra ID, data boundaries, and enterprise-grade access control frameworks ... Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length ...

New

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

Support workflow coordination and ensure timely processing of rating activities. * Identify opportunities to apply AI and automation to streamline manual processes, improve data quality, and enhance ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

Support workflow coordination and ensure timely processing of rating activities. * Identify opportunities to apply AI and automation to streamline manual processes, improve data quality, and enhance ...

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Overnight Ai Data Rater information

See Basking Ridge, NJ salary details

$14

$26

$40

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

As of Aug 23, 2026, the average hourly pay for overnight ai data rater in Basking Ridge, NJ is $26.10, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $32.93 per hour, depending on experience, location, and employer.

What is an Overnight AI Data Rater?

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 are the key skills and qualifications needed to thrive as an Overnight AI Data Rater?

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 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 near Basking Ridge, NJ are hiring for Overnight Ai Data Rater jobs?

Cities near Basking Ridge, NJ with the most Overnight Ai Data Rater job openings:

Overnight Ai Data Rater jobs near you
Infographic showing various Overnight Ai Data Rater job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $54,297 per year, or $26.1 per hour.

AI/ML - Data Engineer Role

SysMind Tech

Manhattan, NY • On-site

$90 - $100/hr

Other

Posted 7 days ago

Job description

Title - AI/ML - Data Engineer Role ( Must have skills - Python, Gen AI, ML Modeling, SQL, Pytorch)
Location - New York, NY ( Hybrid 3 days onsite)
Rate - $90 - $100/hr ( Depend on candidates experience)
Job Description:
Analyze large and complex datasets to derive actionable insights and inform business strategies.
Develop and implement advanced machine learning models and algorithms.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
Communicate findings and recommendations to stakeholders and executive leadership.
Stay updated with the latest trends and technologies in data science and machine learning.
Basic Qualifications:
Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum of 12 years of experience in a data science role.
Proficiency in programming languages such as Python or R..
Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
Experience with modern ML frameworks such as PyTorch, TensorFlow
Experience with big data technologies such as PySpark
Experience with ML model training within cloud infra such as Azure, AWS, GCP
Proven track record of successfully deploying and optimizing ML models in a production environment.
Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.

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