Gramian Consulting Group

Role Description We are looking for detail-oriented AI Data Trainers to evaluate how AI systems personalize responses using real user data. You will interact with AI models, assess outputs, and provide structured feedback — focusing on accuracy, safety, personalization quality, and correct use of personal data. This role is especially suited for candidates with a strong interest in fitness, nutrition, and digital health experiences. NOTE: must have either a Google Pixel device or a Fitbit watch (Apple Watch devices are not permitted) with at least 3 months of data recorded (activity, sleep, health, and similar). Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 10 weeks+ Location: INDIA Responsibilities - Conduct multi-turn conversations with AI models and compare response quality across variants - Evaluate outputs for: - Accuracy and grounding - Personalization quality - Safety and responsible data usage - Test predefined health & wellness scenarios (fitness, activity tracking, nutrition, habits) - Identify issues such as: - Incorrect personalization - Hallucinations or reasoning gaps - Data misuse or privacy risks - Provide clear, structured feedback and evaluation notes - Maintain consistency and attention to detail across repeated evaluations Qualifications - Must be 18+ years old - Previous experience in AI training, data annotation, and similar is a big plus - Must operate using en-IN language settings (India-based context required) - Must use a primary, actively used personal Google account (with real usage history) - Must own and actively use a Fitbit device or Pixel Watch

Role Description We are looking for experienced Cybersecurity Experts to contribute to the development of advanced evaluation environments for frontier AI systems. In this role, you will create realistic security-focused coding scenarios that assess how AI models understand software vulnerabilities, exploit chains, secure coding practices, and complex attack surfaces. The work combines elements of offensive security, application security, software engineering, and AI evaluation. This is a highly technical, hands-on opportunity focused on building reproducible security benchmarks and adversarial testing environments inspired by real-world vulnerability patterns. - Commitments Required: 8 hours per day with an overlap of 4 hours with PST. - Employment type: Contractor assignment (no medical/paid leave) - Duration of contract: 4 weeks+ - Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam - Interview: 2x technical interviews Responsibilities - Design vulnerable multi-component applications and security challenge environments across languages such as Go, Python, Node.js, or Rust - Develop realistic exploit chains combining multiple vulnerability categories and attack vectors - Build deterministic evaluation environments using Docker and automated validation tooling - Create security-focused test cases and verification logic for vulnerability detection and remediation workflows - Review and analyze AI-generated outputs to identify gaps in reasoning, security understanding, or exploit detection - Develop adversarial scenarios involving misleading documentation, obfuscated code, edge cases, and hidden attack paths - Model real-world vulnerability classes inspired by CVEs, bug bounty findings, and production security incidents - Ensure evaluation tasks remain scalable, reproducible, and resistant to contamination from public datasets - Collaborate with cross-functional teams working on AI evaluation, benchmarking, and automated testing systems Qualifications - 4+ years of experience in cybersecurity, application security, vulnerability research, or offensive security - Hands-on experience with vulnerability discovery, exploit development, secure code review, or patch validation - Strong understanding of web security, authentication, sessions, OAuth, JWT, SSRF, injection attacks, and access control vulnerabilities - Experience with cryptographic vulnerabilities, filesystem attacks, or privilege escalation scenarios - Experience using security tools such as SAST, fuzzers, IAST, or similar security testing frameworks - Strong coding skills in at least two of the following languages: Go, Python, Node.js, Rust - Experience working with Docker and containerized environments - Familiarity with Linux internals and system-level behavior - Experience with bug bounty programs, CTFs, red teaming, or CVE research is a strong plus

Role Description We are seeking Chemists (PhD or Master's Degree) with a strong background in upper-undergraduate Chemistry or beyond to design rigorous Chemistry problems used to train and evaluate frontier AI models. This role focuses on creating realistic, exam-quality tasks that are solvable by humans yet challenging enough to expose failure modes in advanced language models. - Design and curate upper-undergraduate and graduate-level Chemistry problems with clear, fully worked solutions. - Create challenging, realistic tasks that expose failure modes in frontier AI systems. - Convert diagram-heavy or multi-part chemistry questions into self-contained, text-only problems with definitive answers. - Write rigorous explanations and verify scientific accuracy throughout the problem and solution. - Evaluate AI-generated responses, diagnose errors, and refine questions to meet difficulty targets. - Review Chemistry tasks created by others and improve clarity, correctness, and realism. - Collaborate with cross-functional teams to maintain consistent standards across large task batches. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 2 months (possible extension) Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam Selection process: Home Assignment Qualifications - Master’s or Ph.D., or those currently pursuing a Ph.D./Postdoctoral degree in Chemistry, Chemical Engineering, Biochemistry, or a related field. - Proficiency in at least three of the following tools: GROMACS, LAMMPS, Psi4, PySCF, xtb, crest, Multiwfn, Cantera, CoolProp, NWChem, PyBaMM, RDKit, and Open Babel. - Strong research and analytical skills. Requirements - Proficient in at least three of the following tools: GROMACS, LAMMPS, Psi4, PySCF, xtb, crest, Multiwfn, Cantera, CoolProp, NWChem, PyBaMM, RDKit, and Open Babel.

Role Description We are looking for a highly analytical and research-driven individual with a strong background in Physics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down complex Physics concepts into simple, clear explanations and work efficiently. The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! - Design and solve challenging Physics problems to probe the limitations of large language models. - Create clear, high-quality, step-by-step solutions with well-articulated reasoning. - Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation). - Help define new evaluation benchmarks based on Physics curricula spanning early undergraduate to PhD-level topics. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 10+ weeks Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam Selection process: Home Assignment Qualifications - Master’s, Ph.D., or those currently pursuing a Ph.D. in Physics, Applied Physics, or similar. - Proficient in at least three of the following tools: QuTiP, OQuPy, QuSpin, TenPy, Strawberry Fields, openEMS, ngspice, Quantum ESPRESSO, OpenFOAM, FEniCS/FEniCSx (DOLFINx), WarpX, REBOUND, PYTHIA, Kwant, Elmer FEM, GF180MCU PDK, Sky130 PDK, FreeCAD, Project Chrono, Scilab Xcos, volare, emcee, Icarus Verilog, GTKWave, Verilator, gmsh, Elmer, pyarmadillo, and MeshLab. - Strong research and analytical skills. Company Description Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Description We are looking for a Power Electronics Specialist to contribute to the design and evaluation of complex PCB-based power systems for the purpose of AI Training. This role goes beyond traditional design work, combining hands-on circuit development with the creation of structured validation and benchmarking approaches for advanced design workflows. You will work across a variety of power applications, ensuring designs meet performance, reliability, and manufacturability standards, while also helping define how such designs are systematically assessed. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: India, Brazil in PCB Interview: short async test Responsibilities - Design and develop power electronic circuits (e.g., DC-DC converters, LDOs, AC-DC supplies, automotive power systems) - Create and maintain schematics and PCB layouts using tools such as KiCad, Altium, or similar - Select and validate components based on electrical requirements and datasheet specifications - Evaluate circuit performance including efficiency, ripple, thermal behavior, and reliability - Apply best practices for PCB layout, including grounding strategies, routing, EMI mitigation, and DFM considerations - Prepare manufacturing deliverables such as BOMs, Gerber files, and pick-and-place data - Perform validation through simulations, calculations, and design rule checks (DRC) - Define structured validation methodologies covering electrical specs, component compliance, and design integrity - Establish evaluation criteria for PCB layouts, including DRC/LVS, thermal performance, and power integrity - Collaborate with engineering and cross-functional teams to improve design quality and evaluation processes Qualifications - Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or a related field - 5+ years of relevant experience in power electronics or PCB design - Solid experience in power electronics design (e.g., DC-DC converters, voltage regulators) - Hands-on expertise in schematic capture and PCB layout - Experience with PCB design tools such as KiCad, Altium, or equivalent - Familiarity with design rule checks (DRC), manufacturability, and EMI fundamentals

Role Description We are seeking Biologists (PhD or Master's Degree) with a strong background in upper-undergraduate Biology or beyond to design rigorous Biology problems used to train and evaluate frontier AI models. This role focuses on creating realistic, exam-quality tasks that are solvable by humans yet challenging enough to expose failure modes in advanced language models. Responsibilities: - Design and curate upper-undergraduate and graduate-level Biology problems with clear, fully worked solutions. - Create challenging, realistic tasks that expose failure modes in frontier AI systems. - Convert diagram-heavy or multi-part biology questions into self-contained, text-only problems with definitive answers. - Write rigorous explanations and verify scientific accuracy throughout the problem and solution. - Evaluate AI-generated responses, diagnose errors, and refine questions to meet difficulty targets. - Review Biology tasks created by others and improve clarity, correctness, and realism. - Collaborate with cross-functional teams to maintain consistent standards across large task batches. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 2 months (possible extension) Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam Selection process: Home Assignment Qualifications - Master’s or Ph.D., or those currently pursuing a Ph.D./Postdoctoral degree in Biology, Biotechnology, Biochemistry, or a related field. - Proficiency in at least three of the following tools: BWA, Bowtie2, GATK, HMMER, HHsuite, STAR, SPAdes, IQ-TREE, OpenMM, AlphaFold2, PyOpenMS, RELION, PhysiCell, COPASI, Comet, COBRApy, Hifiasm, ABySS, DeepVariant, Flye, OR-Tools, Bracken, Kraken2, MEGAHIT, antiSMASH, BEAST2, FastTree, DIA-NN, Percolator, AutoDock Vina, CP2K, Salmon, MethylDackel, Canu, and GROMACS. - Strong research and analytical skills. Requirements - Proficient in at least three of the specified tools.

Role Description We are looking for a highly analytical and research-driven individual with a strong background in Computational Mathematics to contribute to advanced AI evaluation initiatives. In this role, you should be able to break down complex Maths problems into simple, clear explanations and work efficiently. - Design and solve challenging Maths problems to probe the limitations of large language models. - Create clear, high-quality, step-by-step solutions with well-articulated reasoning. - Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation). - Help define new evaluation benchmarks based on Mathematics curricula spanning early undergraduate to PhD-level topics. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 10+ weeks Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam Selection process: Home Assignment Qualifications - Master’s, Ph.D., or those currently pursuing a Ph.D. in Mathematics, Applied Mathematics, or Statistics. - Proficient in at least three of the following tools: Magma, Macaulay2, Singular, GAP, SageMath, Polymake, 4ti2, LattE, DIPHA, PHAT, AUTO-07P, XPPAUT, Perseus, Stan, PyMC, OR-Tools, Z3, PARI/GP, and fpLLL. - Strong research and analytical skills.

Role Description We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions. Responsibilities - Quantitative Problem Design and Solutioning: - Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/programming, using Python. - Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. - Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. - Quality Assurance & Collaboration: - Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. - Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. Commitments Required - 8 hours per day with an overlap of 4 hours with PST. Employment Details - Employment type: Contractor assignment (no medical/paid leave) - Duration of contract: 12 weeks - Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico - Selection process: Profile Review and Job Questionnaire Qualifications - PhD or PhD Candidates in Computational Mathematics - Has published at least 1 peer-reviewed paper - Advanced proficiency in Python programming for scientific coding - Excellent analytical, logical thinking, and problem-solving skills - Strong written and verbal communication skills for clear documentation and collaboration

Role Description We’re looking for a Backend Developer to join the growing engineering team. You’ll help design, develop, and optimize the server-side logic and APIs powering next-generation inspection software that integrates 3D modeling, video processing, and AI-based defect detection. You’ll collaborate closely with frontend, data, and robotics engineers to ensure smooth system integration, scalability, and reliability. Locations: The role is 100% remote, but the candidate location that is preferred is Egypt or Morocco. Responsibilities - Develop and maintain backend logic and databases for web applications - Design and integrate scalable APIs for data ingestion and processing - Contribute to CI/CD automation and deployment pipelines (AWS ECS, Lambda, S3) - Write clean, testable, and well-documented code - Participate in architecture design, code reviews, and product decisions - Collaborate with cross-functional teams (frontend, cloud, robotics, AI) Qualifications - Strong knowledge of ASP.NET Core, Entity Framework Core, and C#/.NET (7+ years of experience) - Experience with Python for backend or data-oriented tasks - Hands-on experience with AWS (ECS, Lambda, S3) - Solid understanding of CI/CD pipelines, Docker, GitHub, and automation workflows - Familiarity with development tools such as Visual Studio Code and Docker - Strong problem-solving mindset and collaborative attitude - Fluent in English Nice to Have - Experience in video processing, 3D modeling, geospatial data, or photogrammetry - Experience with ABP or microservices templates - Exposure to machine learning libraries or data pipelines

Role Description We are looking for an experienced Senior Data Scientist to join a high-impact Ads Data Science team focused on scaling and optimizing a rapidly growing advertising marketplace. Advertising is a core revenue driver, and this role sits at the heart of building a high-performance, data-driven marketplace ecosystem — where advertisers, users, and platform dynamics interact in real time. You will work on problems such as auction dynamics, pricing, targeting, relevance, and marketplace efficiency, leveraging large-scale data and advanced modeling techniques to drive measurable business impact. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor or FTE Duration of contract: long-term, but with 3-month increments based on performance Responsibilities - Design and apply data science and machine learning solutions to improve ads marketplace performance - Analyze large-scale datasets to uncover patterns in marketplace behavior (bidding, pricing, engagement, conversion) - Develop models for prediction, anomaly detection, and optimization - Define and track core marketplace metrics (supply/demand balance, auction efficiency, advertiser value) - Build data assets (tables, dashboards, self-serve tools) to empower product and engineering teams - Partner with Product and Engineering to translate marketplace challenges into DS solutions - Design and analyze A/B experiments and causal inference frameworks to validate impact - Communicate insights and recommendations to cross-functional stakeholders Qualifications - 5+ years of experience in Data Science, Machine Learning, or Applied Statistics - Strong experience working on marketplace platforms (e.g., ads platforms, ride-sharing, e-commerce, or similar two-sided ecosystems) - Deep understanding of marketplace dynamics (auction systems, pricing, supply/demand, ranking, or allocation problems) - Strong foundation in statistical modeling, machine learning, and experimental design - Experience with large-scale data processing (e.g., Spark, Hadoop, Hive, or BigQuery) - Advanced proficiency in SQL and working with large relational datasets - Strong programming skills in Python (preferred) or R - Experience building and interpreting A/B tests and causal inference models - Ability to work with cross-functional teams and influence product decisions through data Nice to Have - Experience in online advertising / ad tech ecosystems - Experience with auction optimization, bidding strategies, or ranking systems - Familiarity with real-time systems or large-scale recommendation systems - Experience building self-serve analytics tools or data platforms