Data mining • bend or
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.You'll work on well-scoped emp... Show more
About the role** This is an evaluation framework for frontier AI models in drug research and development.Domain experts write realistic research problems wrapped around messy evidence worlds.The mo... Show more
DataAnnotation is committed to creating high-quality AI.Enjoy the flexibility of remote work and the freedom to set your own schedule.This is an opportunity to work with us as an independent contra... Show more
Are you a hands-on enterprise network engineer — Level 3 / Tier 3 support, network operations, or the person your team escalates to — interested in data science and autonomous infrastructure? Our c... Show more
Starting Hourly Rate / Salario por Hora Inicial: $20.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.Seaso... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
Established in 2012, Seek Now captures robust property data to meet the needs of customers across the insurance and real estate industries.With more than 2 million property inspections completed to... Show more
AMCL is looking to recruit a Senior Asset Management Consultant into the US team.The role will support the delivery of a variety of consultancy and transformation projects for high profile infrastr... Show more
The research teams behind the best-known AI models come to Mercor for data judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is graded agains... Show more
Mercor is seeking experimental scientists and engineers across inorganic synthesis, characterization, superconductors, and semiconductors (including advanced packaging) to support a frontier AI res... Show more
Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors and the physical sciences.This is hands-o... Show more
About the Role Mercor is partnering with a leading technology organization to recruit experienced Electrical Test Automation Engineers for a short-term project.Engineers will apply hands-on industr... Show more
Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery.They're extending their pla... Show more
Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations.These projects may focus on evaluating how effectively AI systems pe... Show more
Director of Quality Control (Commercial).The Director, Commercial Quality Control is responsible for leadership, oversight, and strategic direction of Quality Control operations supporting commerci... Show more
Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
Role Overview: Mercor is looking for data analysts and spreadsheet specialists with 2-3 years of experience, or currently enrolled postgrad students in a quantitative field, to support a research p... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
Role Overview: Mercor is looking for STEM researchers who hold or are currently pursuing an MSc or PhD to support a research project with a leading AI lab.You will work through real research workfl... Show more
The average salary range is between $ 58,500 and $ 142,500 year , with the average salary hovering around $ 97,500 year .
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. ## Responsibilities - Train image classifiers and generative image models from scratch, and fine-tune open-weight language models. - Get the most out of limited data, compute, and model-size budgets. - Make models robust — to adversarial inputs and to adversarial conversations. - Compress models to meet hard size and latency constraints without sacrificing accuracy. - Diagnose and resolve training issues. ## Requirements We are looking for candidates with strong expertise in one or more of the following areas: **Adversarial Robustness** Experience with: - Adversarial training of image classifiers (e.g. PGD-based training, TRADES). - Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls. - Managing the robustness–accuracy trade-off and robust overfitting. **Efficient Computer Vision** Experience with: - Training image classifiers end-to-end, especially for fine-grained recognition (many visually similar classes, few examples per class). - Model compression: quantization, pruning, and knowledge distillation from large teachers into small students. - Deploying models under hard size or latency budgets (on-device, edge, or embedded settings). **Generative Image Modeling** Experience with: - Training image generative models from scratch: diffusion models, GANs, VAEs, or flow-based models. - Iterating against sample-quality metrics such as FID. - Training-efficiency tricks that produce good generators quickly and at small parameter counts. **LLM Post-Training & Behavioral Robustness** Hands-on experience with one or more of: - Supervised fine-tuning and preference optimisation (DPO, RLHF, RLAIF) of open-weight language models, including building your own datasets via synthetic generation, noisy or weak supervision, and rejection sampling. - Shaping conversational behaviour over multiple turns: resistance to persuasion and sycophancy, calibrated confidence, and knowing when to accept corrections. - Alignment-style fine-tuning that changes a specific behaviour while preserving general capability. **Multilingual Pre-training** Experience with: - Training multilingual or low-resource-language models from scratch. - Tokenizer design across scripts and typologically diverse languages. - Balancing highly unequal per-language data (sampling temperatures, cross-lingual transfer) in data-constrained regimes. **Additional Areas of Interest** Experience in any of the following is a plus: - Scaling laws and training-efficiency research. - Curriculum learning and data ordering. - Model evaluation: benchmark construction, contamination control, statistically sound comparisons. - Uncertainty estimation and model calibration. - Data augmentation and synthetic data for robustness. ## General Qualifications - 3+ years of machine learning research experience (PhD research counts toward this requirement). - Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. - Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions. ## Why Join - Work on cutting-edge machine learning research. - Collaborate with leading AI researchers on challenging, high-impact projects. - Flexible, project-based work with competitive compensation.
