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Acl Labs Jobs (NOW HIRING)

Vijil

$200 - $250/hr

Work with external collaborators and maintain relationships with relevant research labs and key ... AISTATS, UAI, ACL, EMNLP, NAACL, FAccT, COLT) demonstrating sustained, independent research ...

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How much do acl labs jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for acl labs in the United States is $38.64, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $48.80 per hour, depending on experience, location, and employer.

What is an ACL Labs job?

An ACL Labs job typically involves working in a clinical laboratory setting, performing medical testing and analysis to aid in patient diagnosis and treatment. Positions range from lab technicians and phlebotomists to medical technologists and administrative roles. Employees may handle specimen collection, data entry, and quality control to ensure accurate lab results. ACL Labs is known for providing diagnostic services to hospitals, physicians, and healthcare providers.

What are the key skills and qualifications needed to thrive in the ACL Labs position?

To excel at ACL (Aurora Consolidated Laboratories) Labs, you typically need a background in laboratory science, such as a degree in medical laboratory technology or clinical laboratory science. Familiarity with laboratory information systems (LIS), diagnostic equipment, and certifications like ASCP or AMT are often required. Strong attention to detail, organizational skills, and effective communication are vital soft skills. These competencies ensure accurate and timely testing, reliable results, and smooth collaboration within healthcare teams.

What is the typical work environment like for laboratory professionals at ACL Labs?

Laboratory professionals at ACL Labs usually work in clean, well-organized clinical lab settings alongside teams of technicians, technologists, and pathologists. The pace can range from steady to fast, especially during high-volume periods, requiring a focus on accuracy and efficiency. Employees often follow strict safety protocols and may work various shifts, including evenings or weekends, depending on the department. Collaboration with clinicians and other healthcare staff is common to ensure timely and accurate diagnostic results, fostering a culture of teamwork and continual learning.

What does ACL Labs specialize in?

ACL Labs specializes in forensic laboratory testing and analysis, focusing on digital forensics, data recovery, and cybersecurity investigations. The company employs advanced tools and techniques to support legal and security-related cases, often requiring technical skills and certifications in digital forensics. Their work involves analyzing electronic evidence to assist in criminal and civil investigations.
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Infographic showing various Acl Labs job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 83% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $80,364 per year, or $38.6 per hour.

Machine Learning PhD Student, Frontier AI Evaluation (Contract)

Cobalt

San Francisco, CA • On-site

Other

Posted 7 days ago

Job description

About the role:

Cobalt is seeking current PhD students working in machine learning to produce the expert reasoning and evaluation data used to train and assess frontier AI models.

This opportunity is suited to students who are actively doing ML research: designing and running experiments, training and evaluating models, working through derivations, and debugging results that do not behave as expected. You may be at any stage of your program, from first year through writing up, and you do not need to have published yet.

You do not need prior experience in data annotation or model evaluation. What matters is that you can solve non-trivial ML problems unaided and explain your reasoning clearly in writing.


What you'll do:

Depending on the project, you may:

  • Produce written reasoning traces on hard ML problems, capturing how you reach a solution rather than only the solution itself, and draft expert reference answers to technical questions
  • Author novel problems in your subfield that have verifiable or defensible correct answers
  • Evaluate model-generated technical content: compare and rank responses, articulate what makes the stronger one stronger, and identify the specific step at which a chain of reasoning breaks down
  • Assess whether stated conclusions are supported by the underlying derivation, code, or experimental evidence
  • Design rubrics and partial-credit criteria for scoring multistep technical tasks

Projects follow their own guidelines, formatting conventions, and quality standards, and you will work with feedback from reviewers and lab research teams.


Required qualifications:

  • Current enrollment in a PhD program in machine learning, computer science, statistics, mathematics, physics, or a closely related quantitative discipline, with research that is substantially ML focused, at any stage
  • Demonstrated depth in at least one area, for example optimization, reinforcement learning, language model training and post-training, learning theory, probabilistic methods, computer vision, natural language processing, or systems for ML
  • Ability to solve advanced ML problems independently, to interpret papers, derivations, code and experimental results, and to explain each step of your reasoning clearly in writing
  • Strong attention to detail, a commitment to factual accuracy, and the ability to work independently to agreed timelines
  • Confirmation that outside contract work is permitted under your visa status, funding terms, and institutional policies. Applicants are responsible for verifying this, and we cannot advise on it.

Publications at venues such as NeurIPS, ICML, ICLR, ACL, or CVPR are useful but not required, as is teaching assistant, grading, or peer review experience.


Why join Cobalt AI:

  • Advance frontier AI where it counts. Apply your expertise to data that frontier labs cannot obtain any other way, where your reasoning directly shapes how the next generation of models works through technical problems.
  • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while developing a working understanding of how frontier models are trained and assessed.
  • Work with a top-tier network. Collaborate with researchers and engineers from leading institutions and labs on high-impact, flexible work.
  • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your existing work and your life.
  • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.

Apply