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Afternoon Training Ai Models Jobs (NOW HIRING)

Biohub

Staff Research Scientist, AI Safety

New York, NY · On-site +1

$241K - $301K/yr

Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency ...

Jobs for Humanity

Speakers/Writers

Rockford, IL

$15 - $60/hr

You will play a pivotal role in training AI models,ensuring the accuracy and relevance of Arabic content generated byAI. This position allows for flexible scheduling, and yourcontributions will ...

Unconventional AI

AI Systems, Training

The role involves building a next-generation ML model training platform and optimizing training systems for advanced AI models and hardware platforms. Responsibilities : • Build and maintain highly ...

Jobs for Humanity

Speakers/Writers

Kansas City, MO

$15 - $60/hr

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

Jobs for Humanity

Speakers/Writers

Vancouver, WA

$15 - $60/hr

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

Prolific

AI Training Experts - Plano, US

The role involves completing AI training tasks and improving AI models based on performance evaluations. Responsibilities : • Completing AI training tasks such as analyzing, editing, and writing ...

SAIC

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

Two years of experience in developing and training AI models using large data sets * Four years of specialized experience in determining information technology effects on the organizational structure ...

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Afternoon Training Ai Models information

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How much do afternoon training ai models jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for afternoon training ai models in the United States is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $23.08 per hour, depending on experience, location, and employer.

What is afternoon training AI models?

Afternoon Training AI Models refer to artificial intelligence models that are trained during afternoon shifts or sessions, often as part of a distributed or shift-based workflow. This scheduling can help maximize resource utilization and accommodate global teams working across different time zones. The training process involves feeding large datasets to machine learning algorithms to improve their accuracy and performance. Afternoon training sessions are typically managed by AI engineers or data scientists who oversee the model development, monitor progress, and address any issues that arise during the process.

What are the key skills and qualifications needed to thrive as an AI model trainer?

To thrive as an AI Model Trainer, you need a solid understanding of machine learning concepts, data annotation, and experience with programming languages like Python, often supported by a relevant degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, as well as tools for data labeling and version control systems, is typically required. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for ensuring high-quality training outcomes. These skills and qualifications are essential for developing accurate and reliable AI models that meet project goals and industry standards.

What are typical challenges faced when training AI models in an afternoon shift role, and how can these be addressed?

Afternoon training AI model roles often encounter unique challenges such as coordinating with team members in different time zones, managing data quality during off-peak hours, and maintaining focus during extended screen time. To address these, it's helpful to establish clear communication channels with colleagues, use project management tools to track progress, and take regular breaks to stay refreshed. Additionally, being proactive in flagging data inconsistencies and participating in shift handovers ensures smooth workflow and model accuracy.

What is the difference between Afternoon Training Ai Models vs Data Scientist?

AspectAfternoon Training Ai ModelsData Scientist
Required CredentialsTypically a background in machine learning, AI, or computer science; often a bachelor's or master's degreeDegree in data science, statistics, computer science, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentPrimarily in AI development teams, tech companies, or research labs; focused on model training and optimizationIn diverse settings including tech firms, finance, healthcare; analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by AI companies, research institutions, and tech firms for developing AI modelsEmployed across industries for data analysis, predictive modeling, and strategic decision-making

While both roles involve working with data and models, Afternoon Training Ai Models focus specifically on training and refining AI models during specific timeframes, whereas Data Scientists have a broader scope including data analysis, visualization, and strategic insights across various industries.

What cities are hiring for Afternoon Training Ai Models jobs?

Cities with the most Afternoon Training Ai Models job openings:

What are the most commonly searched types of Training Ai Models jobs?

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What states have the most Afternoon Training Ai Models jobs?

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Afternoon Training Ai Models jobs near you

Staff Research Scientist, AI Safety

Biohub

New York, NY • On-site, Remote

$241K - $301K/yr

Full-time

Retirement, PTO

Re-posted 22 days ago

Job description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology-developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
The Opportunity
This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You'll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health-advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact for the public good.
The Staff Research Scientist is part of the AI Research team, which focuses on training AI models in biology and reasoning at the frontier of data, scale and compute. We are a mostly flat organization of researchers to enable rapid and dynamic AI development.
What You'll Do
  • Rigorously think through important open scientific questions that don't have textbook answers.
  • Design and build safety evaluations to understand AI capabilities at the frontier of biology.
  • Collaborate closely with scientists across Biohub to build safeguards that are robust to potential misuse, enabling our AI systems to be used for maximum societal benefit .
  • Gain direct access to a network of leading external experts and Biohub partners for collaboration and to inform your safety work.
  • Monitor capability advancements and emerging technologies across AI and assess how these advances impact the robustness of our safeguards.
  • Partner closely with colleagues to develop, implement, and evolve our frontier safety policy.
  • Communicate our safety work to internal teams as well as external partners.
What You'll Bring
  • PhD in computer science or a related field, or equivalent experience.
  • Expertise in biological sciences.
  • Significant experience building, using, and/or evaluating deep learning systems, ideally in research-driven environments.
  • Strong engineering and scientific fundamentals.
  • Comfort with ambiguity, rapid iteration, and loosely-defined research problems.
  • Strong communication skills across technical and scientific audiences.
  • Interest in shaping the frontier of safety for AI & biology, no prior safety experience required.
Compensation
The Redwood City, CA and New York City, NY base pay range for a new hire in this role is $241,000 - $301,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
Pay ranges outside Redwood City, CA and New York City, NY are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Better Together
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits for the Whole You
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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