Remote Senior Machine Learning Engineer - LLM Evaluation / Task Creations (India Based) - AI Trainer ($35-$35 per hour)Mercor • Escondido, California, US
Remote Senior Machine Learning Engineer - LLM Evaluation / Task Creations (India Based) - AI Trainer ($35-$35 per hour)
Mercor • Escondido, California, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [filters.remote]
[job_card.job_description]Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. Candidates should have 2+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. ## Responsibilities Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. ## Required Qualifications At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in Python PyTorch / TensorFlow , and modern ML / NLP frameworks - Solid understanding of ML fundamentals : statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS / GCP / Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English ## Preferred / Nice to Have Kaggle Grandmaster Master , or multiple Gold Medals Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools : Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale ## Why Join Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options ( 30–40 hrs / week or full-time ) — ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible — optimised for deep technical work, async collaboration, and high-output research environments.
##
- Role Description
Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled
[job_alerts.create_a_job]
Senior Machine Learning Engineer • Escondido, California, US
[internal_linking.similar_jobs]
At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer.We give patients and clinicians the clarity needed to make confident decisions whe...[show_more]
Business Transformation professionals.Qualified candidates are highly encouraged to apply to our current and prospective openings listed below.
Professionals who do not match our current vacancies m...[show_more]
Engineering Group, Engineering Group > .Artificial Intelligence is changing the world for the benefit of human beings and societies.
QUALCOMM, as the world's leading mobile computing platform provide...[show_more]
MLOps Engineer - Remote (AWS Certified Machine Learning).Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT).
We\'re seeking an experienced MLOps Engineer to lead the oper...[show_more]
Machine Learning Engineer – Realm-X.We’re innovators, changemakers, and collaborators.We’re more than just a software company — we’re building the cloud and AI-based Platform where the Real Estate ...[show_more]
A global technology leader in San Diego is seeking an AI Software Engineer to develop on-device software solutions using Python and C / C++.
The ideal candidate will work in a dynamic environment, col...[show_more]
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service.
We are looking for a Senior Machine Learning Engineer to join ou...[show_more]
Engineering Group, Engineering Group > .Artificial Intelligence is changing the world for the benefit of human beings and societies.
QUALCOMM, as the world's leading mobile computing platform provide...[show_more]
A global leader in entertainment is seeking a Senior Machine Learning Engineer in San Diego to design and develop machine learning systems for the PlayStation experience.
The ideal candidate will ha...[show_more]
We are looking for a finance professional to join our team to train AI models.You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of ...[show_more]
A technology-driven retail innovation firm in California is seeking a Machine Learning Engineer to enhance their ML capabilities.
The ideal candidate will design scalable ML infrastructure, train hi...[show_more]
A cutting-edge biotech company in San Diego is seeking a Senior Machine Learning Engineer to develop generative AI models for multi-modal biology.
You will collaborate with top scientists to advance...[show_more] Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website ...[show_more] 
Get AI-powered advice on this job and more exclusive features.At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.
Join our team as we create a world of stories and knowledge,...[show_more]
About Us : PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability.We focus on designi...[show_more]
PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability.
We focus on designing and buildin...[show_more]
A leading biomedical analytics company in San Diego is seeking a Machine Learning Engineer to leverage advanced AI and machine learning techniques for cancer detection.
The ideal candidate will have...[show_more] San Diego, CA or Sunnyvale, CA or Remote.At RADAR, we're transforming the way the world thinks about physical retail.RADAR has raised over $104M from top investors, retailers, and strategics and wo...[show_more]
Senior Machine Learning Engineer
Exact Sciences • San Diego, CA, US
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Sr Machine Learning Engineer
The Marlin Alliance, Inc. • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Sr Engineer, Machine Learning Engineering (ML Apps)
Qualcomm • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
MLOps Engineer - Remote (AWS Certified Machine Learning)
MillenniumSoft Inc • San Diego, CA, United States
[filters.remote]
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Sr. Machine Learning Engineer - Realm-X
AppFolio • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Engineer : On-Device AI & Edge Inference
Nutanix • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior Machine Learning Engineer - Autonomy Validation
Zoox • San Diego, CA, US
[job_card.full_time]
[last_updated.last_updated_1_day] • [promoted]
Sr Engineer, Machine Learning Engineering (ML Apps)
Nutanix • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Engineer - Search & Personalization
PlayStation • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Remote M&A Associate - AI Trainer ($50-$60 / hour)
Data Annotation • Temecula, California
[filters.remote]
[job_card.full_time] +1
[last_updated.last_updated_30] • [promoted]
ML Engineer, Real-Time Retail AI — Remote
RADAR • San Diego, CA, United States
[filters.remote]
[job_card.full_time]
[last_updated.last_updated_1_day] • [promoted]
Staff Machine Learning Engineer — Bio AI for Cell Health
Second Renaissance • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Staff Machine Learning Engineer - Modeling
Second Renaissance • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Machine Learning Engineer
Scribd, Inc. • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
AI ML Engineer SME
PMAT • San Diego, CA, US
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Senior Machine Learning Engineer (Op AI)
Pmat • San Diego, California, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Impactful ML Engineer – Cancer Genomics & AI Solutions
Exact Sciences Corporation • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Machine Learning Engineer
RADAR • San Diego, CA, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]