About this opportunity
Synthires lists this Machine Learning Research Scientist opportunity in united, West Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job DescriptionML Research Expert
\ N
Position: ML Research Expert
\ N
Type: Contract
\ N
Compensation: $80–$150/hour
\ N
Location: Remote
\ N
About the Opportunity
\ NAfterQuery partners with leading AI research organizations to evaluate and improve frontier AI systems. We are seeking experienced Machine Learning Research Experts with a proven research track record to design benchmark tasks, evaluate model capabilities, and contribute expert-level ML reasoning to next-generation AI systems.
\ NThis role is intended forresearchers who actively conduct machine learning research, write ML code, publish scientific work, and contribute original ideas to the field. The focus is on designing rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains.
\ NAreas of interest includeLanguage Models, Deep Learning, Reinforcement Learning, Computer Vision, Generative AI, Robotics, ML Systems, Optimization, Learning Theory, Time Series Forecasting, Causal Inference, Trustworthy AI, and AI for Science.
\ NKey Responsibilities
\ N Design realistic machine learning research tasks and benchmark problems.
\ N Develop expert-level reference solutions and evaluation methodologies.
\ N Create grading rubrics that assess model reasoning, implementation quality, and scientific correctness.
\ N Evaluate AI-generated solutions for technical accuracy, research validity, and methodological rigor.
\ N Author problem sets covering advanced machine learning concepts and research workflows.
\ N Review model outputs and identify weaknesses in reasoning, implementation, experimentation, and interpretation.
\ N Document expected solutions, evaluation criteria, and benchmark standards.
\ N Contribute domain expertise to improve the quality of frontier AI evaluation systems.
\ N Required Qualifications
\ N At least one first-author research publication in Machine Learning, Artificial Intelligence, or a closely related field.
\ N Master's or PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative discipline (completed or currently in progress).
\ N Minimum 1 year of hands-on machine learning research experience.
\ N Strong experience developing, training, evaluating, or deploying machine learning models.
\ N Demonstrated proficiency in machine learning programming and experimentation.
\ N Ability to design technically rigorous research problems and evaluation frameworks.
\ N Excellent written communication and technical documentation skills.
\ N Preferred Qualifications
\ N Multiple first-author publications.
\ N Publications demonstrating measurable improvements over established baselines.
\ N Research published at leading venues such as NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, CoRL, MLSys, or equivalent conferences and journals.
\ N Deep expertise in one or more specialized machine learning research areas.
\ N Experience creating benchmarks, evaluations, datasets, or scientific assessments.
\ N Strong understanding ofexperimental methodology, reproducibility, and model evaluation.
\ N Experience working on frontier AI systems, large-scale ML infrastructure, or advanced research projects.
\ N Compensation
\ N $80–$150/hour
\ N Remote contractengagement
\ N Flexible workload (5–40 hours per week)
\ N Fully asynchronous work environment
\ N Application Process
\ N Submit your application.
\ N Upload your resume and research credentials.
\ N Complete the evaluationprocess.
\ N Participate in background verification if required.
\ N Begin contributing benchmark-authoring projects upon approval.
\ N AdditionalDetails
\ N Fully remote opportunity.
\ N Flexible schedule.
Ongoing project work available.
\ N Applications reviewed on a rolling basis.
\ N Candidates meeting publication requirements will be prioritized.
\ N
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.