Mercor jobs

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. 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.

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. Write original multiple-choice questions on Taiwanese or Hong Kong accounting, auditing and tax, in Chinese (Traditional), for an AI evaluation dataset. You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours. Requirements: master's or higher in finance, accounting or business, ideally 2+ years' experience, educated or based in Taiwan or Hong Kong, native-level Chinese (Traditional).

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. We are seeking experienced Netherlands Domestic Tax Specialists to support the development and evaluation of AI systems focused on Dutch taxation. You will leverage your expertise in Dutch domestic tax law to answer complex tax questions, review AI-generated responses, identify inaccuracies, and provide detailed feedback to improve model performance. This is an excellent opportunity for tax professionals who enjoy solving complex tax issues while contributing to the next generation of AI-powered tax solutions. What You'll Do - Answer complex questions related to Dutch domestic tax law using relevant legislation, case law, and official guidance. - Review AI-generated tax analyses for legal accuracy, completeness, and clarity. - Correct incorrect or incomplete responses and provide structured explanations. - Evaluate reasoning across personal and corporate tax scenarios. - Flag ambiguous, conflicting, or insufficient legal guidance where applicable. - Consistently apply project rubrics and quality standards. - Collaborate with calibration and feedback sessions to improve evaluation consistency. Qualifications - 5+ years of experience advising on Dutch domestic taxation . - Experience in a Big Four firm, tax advisory firm, law firm, corporate tax department, or the Dutch Tax Administration (Belastingdienst) preferred. - Strong knowledge of Dutch Income Tax, Corporate Tax, VAT, and related domestic legislation. - Ability to interpret Dutch tax statutes, regulations, and official guidance. Dutch tax professionals routinely advise on compliance, planning, disputes, and representation before the tax authorities. - Excellent analytical and written communication skills. - Comfortable reviewing detailed legal and tax reasoning. - Native or professional fluency in Dutch ; strong English proficiency is preferred. Preferred Qualifications - Registered Dutch tax adviser (e.g., NOB , RB, or equivalent professional qualification). - Master's degree in Tax Law, Fiscal Economics, Accounting, or a related discipline. - Experience handling complex tax controversies or tax planning matters. - Prior experience reviewing legal or tax content, conducting quality assurance, or contributing to AI/LLM evaluation projects. Why Join? - Apply your Dutch tax expertise to cutting-edge AI systems. - Work on intellectually challenging tax scenarios across multiple domains. - Collaborate with a global network of legal and tax professionals.

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. Join a growing network of industry experts supporting AI research and development. # Overview We're building a select group of experienced electrical engineers to help evaluate and improve how AI systems understand and reason about electrical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in electrical engineering contexts. This is a flexible, part-time engagement - approximately 10 hours per week , fully remote, with the opportunity to continue and grow over time. # What You'll Do - Review and evaluate written content and AI-generated responses in your area of electrical engineering expertise for accuracy and quality. - Answer questions and provide clear, well-reasoned feedback based on your professional experience. - Help identify useful reference material relevant to your field. - Share insight into how electrical engineers actually work - the tools, workflows, and standards you rely on day to day. - Collaborate with a small group of other subject-matter experts across different fields. # What We're Looking For - Degree-qualified electrical engineer holding a Professional Engineer (PE) license in the US. - 2+ years of professional electrical engineering experience, ideally across more than one area (power systems, controls, electronics, signal processing). - Familiarity with relevant codes and standards (e.g. NEC, IEEE) and common engineering tools (MATLAB, AutoCAD Electrical, SPICE, or similar). - Some experience writing technical documentation, specs, or training material is a plus. - Comfortable using everyday AI tools (e.g. ChatGPT or similar). - Based in the United States. - Professional working English. - Able to commit reliably to about 10 hours per week. About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.