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Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT MODAL TALENT: Modal is growing fast, and the programs that bring people in and set them up to succeed are still being built. You’ll join the Talent team as one of its first hires focused on early-career hiring, working closely with recruiting and leadership to build the internship and campus presence that shape how the best people discover and experience Modal for the first time. THE ROLE: As Emerging Talent Recruiter, you will own Modal’s intern program and run full-cycle recruiting for our early-career and internship roles. This is a build-from-the-ground-up role for someone who wants full ownership rather than an existing playbook to execute. You’ll find talent before everyone else does, partner directly with hiring managers to close it, and make sure candidates’ and interns’ first experience of Modal is a great one. Where it makes sense, you’ll also own our career fair presence and talent events, and make sure every program ladders up to real hiring outcomes. WHAT YOU’LL WORK ON: - Own full-cycle recruiting for Modal’s emerging talent roles, from sourcing through offer and close - Partner with hiring managers across Engineering and other teams to define hiring needs, align on candidate profiles, and calibrate on early-career talent - Identify and engage high-potential candidates through universities, student communities, technical networks, referrals, events, and other emerging-talent channels - Design and run the intern program end to end: recruiting timeline, project scoping with hiring managers, mentorship matching, and conversion to full-time - Lead offer and closing conversations, building strong candidate relationships and helping exceptional people understand the opportunity to build their careers at Modal - Represent Modal at career fairs and campus events, and recruit and prep employee brand ambassadors to join you - Build and maintain relationships with university programs, bootcamps, and community organizations that feed our pipeline - Plan and run talent events (meetups, recruiting mixers, tech talks), managing budgets and vendors along the way - Track and report on pipeline health and program metrics: event pipeline conversion, intern conversion rate, and cost per hire from programs - Create a candidate experience that is thoughtful, transparent, and high-touch at every stage - Experiment with new ways to find, engage, and hire great talent early, and turn what works into repeatable practices YOU MAY BE A FIT IF: - You have 2+ years of full-cycle recruiting experience, with a track record of identifying and engaging exceptional talent and strong instincts for candidate quality - You’ve run recruiting or talent programs, events, or university relations, ideally owning a program end to end, including budget and vendors - You learn new talent markets quickly, calibrate to a high hiring bar, and can recruit across different roles and functions - You’re a strong project manager: you juggle multiple pipelines, events, and timelines without dropping details or sacrificing candidate quality - You’re high influence, low ego: you build relationships easily across recruiting, hiring managers, and marketing, and share credit freely - You communicate well, in writing and in person, and you’re comfortable representing Modal externally - You take ownership seriously: you drive programs to completion and build structures that let them scale - You have an experimental mindset and like trying new approaches - You’re based in or willing to relocate to NYC, in-office

Location: Kuala Lumpur Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an Associate Lead Cinematic Artist to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Author realtime cinematics and interactive dialog sequences in our proprietary engine Develop junior talent through artistic feedback sessions and performance review cycles Develop and enforce standard practices for an evolving pipeline and toolset Design features to keep our workflows and technology on the competitive edge Requirements The ideal candidate would have 3+ years in an artistic role with a focus on visual storytelling either in games or animation A strong sense of cameras, staging and storytelling Interest in film and long form media Dedication to growing an artist in parallel with growing as a lead. Experience with 3D authorship Nice to Haves 1+ years experience leading or coordinating a team of artists Experience in a game engine What we Offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development. Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost. Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback. Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use. Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements. Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction. Who You Might Be 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams. Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration. Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs. Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps. Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners. Preferred Qualifications Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains. Experience with adversarial training, model distillation, active learning, or synthetic-data generation to improve model quality, robustness, and training efficiency. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Aberdeen, United Kingdom We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The role? At EnerMech in Aberdeen we have a new role for a Workshop Technician to join our Equipment Rental department. This is a permanent role to be based in the Tooling Workshop and will include 37.5 hours a week with opportunity for overtime. Duties and Responsibilities will include; Inspect, test, and maintain mechanical and hydraulic tools to ensure they are safe and fit for purpose Perform routine checks on equipment before dispatch and after return Assemble, configure, and calibrate tools according to job specifications and client requirements Identify faults or wear and carry out repairs or refurbishments to restore tools to operational condition Replace damaged or worn-out parts using precision tools and manufacturer guidelines Provide support for mobilisation/demobilisation of tooling equipment You are? To be successful for this role you will have previous experience working within a workshop environment and will ideally have worked within an Oil & Gas Service company and be familiar with mechanical based equipment and tools. Candidates from other industries such as the Automotive/Car industry may be considered should they have sufficient experience. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. Company benefits Generous holiday entitlement Pension scheme Private health cover Various staff discount schemes Employee referral scheme

Location: Santa Clara, CA Workplace: onsite Role Overview We are looking for a Senior Software Engineer to own the systems that power a large-scale data collection operation, including the collection platform, operator tooling, data pipeline, and fleet infrastructure. This is an engineering role. Day-to-day teleoperation is performed by a dedicated operator team that you direct — you build what they run on, and you own what comes out of it. Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $105/hour What You’ll Do Design, build, and maintain the software behind our data collection stations — teleoperation stack, multi-camera recording, and session tooling. Deploy and upgrade that stack across the fleet without stopping collection; keep workstations, containers, and networking healthy. Own the data pipeline end to end: automated validation, conversion into our dataset format, upload, metadata, and versioning. Build the QA tooling that catches dropped frames, stream desync, bad calibration, and mislabeled episodes before data reaches training. Direct a team of teleoperators — define task protocols and SOPs, onboard them on new tasks and embodiments, review session quality, and unblock them daily. Own fleet reliability: calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation. Bring up new stations and new embodiments; report throughput, yield, and data health to the research team. What we need to see MS in CS, Robotics, EE/ME, or a related field (or BS with equivalent hands-on experience). 3+ years building software for real robot systems — not simulation only. A system you designed and shipped that other people depended on daily, and that you kept running. Strong Python and Linux; Docker, git, CI, and SSH-based fleet administration. Robot middleware and real-time multi-sensor recording — ROS 2 or equivalent vendor SDKs. Experience supporting a data collection or teleoperation operation: you have built the tools operators depend on and owned throughput and quality numbers. Comfortable around robot hardware — arms or humanoids, dexterous hands, RGB-D cameras, and the calibration that keeps them honest. Able to lead operators without formal authority: you write clear SOPs, train people, and communicate status without being asked. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. XR teleoperation: Quest / PICO / Vision Pro, motion-capture gloves, whole-body retargeting. Imitation-learning data tooling — LeRobot, HDF5/Zarr episode stores, dataset versioning, S3 at TB–PB scale. Built internal dashboards or tooling for a production line or high-throughput lab. Open-source contributions to robotics data or teleoperation tooling. #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Russia; Kazakhstan; Serbia; Nigeria; Tbilisi, Georgia We’re looking for a Portfolio Analyst to help us scale and optimize our credit portfolio. You’ll work hands-on with portfolio metrics, risk strategies, and pricing, collaborating closely with Product and Data Science to turn data into clear, impactful decisions. The scope of responsibilities will include: Credit Portfolio Management: Analysis and monitoring of key portfolio metrics: FPD, PD, LGD, NPL, Surplus; LTV assessment and active participation in product pricing; Development of customer segmentation strategies (e.g., by risk levels, products, acquisition channels); Assessment of the impact of internal initiatives on financial results; Optimization of the portfolio structure (balancing high-yield and low-risk loans). Risk Management: Monitoring of risk concentration (e.g., by regions, products, borrower segments); Adjustment of credit policy based on default and early repayment data; Development and improvement of processes related to loan origination. Collaboration with the Data Science Team: Formulation of requirements for scoring models (e.g., calibration of PD models); Analysis of scoring card performance and proposals for their improvement; Work with cash flow forecasting models. Requirements 3+ years of experience in analytics or portfolio analytics; Higher education, preferably in a technical or economics-related field; Strong understanding of credit risks and metrics: PD, NPL, FPD, SPD, Roll Rate, CoR; Knowledge and practical application of probability theory and mathematical statistics; Proficiency with analytical tools: Excel (advanced formulas, pivot tables); SQL (window functions, subqueries); Experience working with Python (basic level: NumPy, pandas, scikit-learn); Knowledge of regulatory requirements applicable to MFIs/Banks. Nice to Have: Experience with Big Data and BI systems; Basic understanding of ML models (interpretation of scoring results); Knowledge of financial models and statements (NPV, DCF, P&L); Experience with A/B testing; Knowledge of MFI/Banking products: microloans, credit cards, credit lines. Benefits Remote work from anywhere in the world Performance bonus, paid vacations and day-offs, personal development plan Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: Georgia; Rhode Island; New Jersey; Delaware; Maine; Maryland; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; New Hampshire; New York Workplace: Hybrid Chainalysis is the leader in blockchain intelligence, defining how trust is built in the digital economy. We're operating at the cutting edge of one of the world's fastest-growing industries, shaping what comes next. Over the last 2 years, Chainalysis has made big bets and moved fast to capture the market opportunity in front of us: we've accelerated growth, landed enterprise-wide contracts at the world's largest financial institutions, completed four acquisitions to build our AI talent and expand our products, and launched our first agentic product to select customers. The Talent Acquisition team at Chainalysis is responsible for scaling the most important ingredient to our success: people. Our job is to build and execute a talent acquisition strategy that is inclusive, rigorous, and repeatable around the world. As we enter a period of significant go-to-market growth, we're investing heavily in our sales organization and need a recruiter who can match that pace. We're looking for a Recruiter, Go-to-Market who will own and drive hiring for sales and go-to-market roles at Chainalysis. This is a high-volume, outbound-heavy role. You'll spend a meaningful portion of your time building pipeline through direct sourcing, identifying and engaging top sales talent across crypto, fintech, and traditional financial services. You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Account Executive roles among your key hires. You'll work closely with hiring managers across our enterprise and public sector sales teams, acting as a recruiting partner who understands the business and delivers results. Please note that this position is a 6 month Fixed Term Contract initially IN THIS ROLE, YOU'LL: BUILD PIPELINE THROUGH OUTBOUND SOURCING - Own pipeline generation for go-to-market roles, with a heavy emphasis on proactive outbound sourcing to find and engage top sales talent - Map the competitive landscape across crypto, fintech, and traditional financial services to identify where strong Account Executives and quota-carrying sellers work today - Develop creative sourcing strategies that go beyond LinkedIn InMails, including referral generation, community engagement, and direct outreach campaigns - Maintain a high volume of outbound activity to keep pipeline ahead of hiring demand RUN FULL-CYCLE RECRUITING AT PACE - Own the full recruiting lifecycle for go-to-market roles, from intake and sourcing through offer negotiation and close - Manage a high-volume requisition load across enterprise and public sector go-to-market teams - Move candidates through the process efficiently while delivering a thoughtful, personalized, and transparent candidate experience at every step - Make data-driven decisions about pipeline health, conversion rates, and sourcing channel effectiveness to keep hiring on track PARTNER WITH HIRING MANAGERS AND THE BUSINESS - Build trusted relationships with sales leaders to develop a deep understanding of their teams, priorities, and what great looks like for each hire - Guide hiring managers through the recruiting process with clear communication, calibrated expectations, and market insights - Share competitive intelligence on talent availability, compensation benchmarks, and hiring trends across relevant markets - Provide regular pipeline updates and flag risks early so hiring plans stay on schedule CONTRIBUTE TO TALENT ACQUISITION AS A TEAM - Champion diversity and inclusion in every search, with intentional focus on engaging candidates from underrepresented backgrounds - Share sourcing wins, market learnings, and process improvements across the Talent Acquisition team - Identify opportunities to improve recruiting workflows, tools, and candidate experiences - Occasionally provide recruiting support for roles outside of go-to-market as priorities and bandwidth allow WE'RE LOOKING FOR CANDIDATES WHO HAVE: - 3+ years of full-cycle recruiting experience with a strong track record of hiring sales and go-to-market talent, specifically quota-carrying roles such as Account Executives, Sales Engineers, and Business Development Representatives - Demonstrated outbound sourcing ability: you build your own pipeline, generate candidate interest through direct outreach, and do not rely on inbound applications to fill roles - Proven track record of recruiting sales talent within the SaaS and Cybersecurity sectors, with a specific focus on candidates who have successfully sold complex solutions into the Fintech, Cryptocurrency, or Traditional Financial Services markets. - Comfort operating at high volume and managing multiple open requisitions simultaneously without dropping quality or candidate experience - Strong organizational skills with sharp attention to detail and consistent follow-through on every candidate and requisition - The ability to build credibility with hiring managers quickly, communicate market realities clearly, and guide decisions with data - A collaborative, low-ego approach to working on a small, close-knit Talent Acquisition team - Curiosity about our industry and genuine interest in learning the Chainalysis product suite and competitive landscape NICE TO HAVE: - Experience recruiting for public sector go-to-market roles (Federal, DoD/Intel) - Familiarity with government clearance requirements and their impact on candidate pools - Experience at a high-growth or pre-IPO technology company - Experience working with Ashby ATS and sourcing tools - Recruiting experience beyond core sales roles, such as professional services, solutions engineering, or customer success This role is ineligible for visa sponsorship. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Role Overview We are seeking detail-oriented evaluators to conduct human quality evaluations for an enterprise AI customer support product on Instagram, WhatsApp, and Messenger. You will evaluate and benchmark AI model responses against complex evaluation rubrics using provided business knowledge bases. What You’ll Own: Model Evaluation: Review and score AI-generated customer interactions across Foundational, Experiential, and Operational dimensions (e.g., Action Fidelity, Faithfulness, Hallucination, Compliance, Tone, and Handoff). Intent & Fact Verification: Benchmark both informational (R1) and transactional (R2) customer queries against authoritative business sources (FAQs, product catalogs, SOPs) within the task UI. Quality Assurance: Participate in dual-review processes and daily calibration audits to ensure inter-rater agreement and establish ground-truth performance targets. Performance Targets: Deliver precise evaluation You’ll Thrive in This Role If You Have: Customer Service Background: Prior experience in customer service, call centers, retail, or handling customer communications via email, chat, or phone (highly prioritized). English Proficiency: Exceptional written English skills with a strong command of tone, brand voice, grammar, and nuance. French Proficiency: Exceptional written French skills with a strong command of tone, brand voice, grammar, and nuance. Analytical Precision: Ability to strictly follow multi-tier evaluation guidelines, complex logic trees, and technical rubrics without deviation. Tech Adaptability: Comfort using dedicated web-based tools and labeling interfaces. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Zurich, Switzerland Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Brazil Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $50.00 USD per hour Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Colombia Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $55.00 USD per hour Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Germany Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Quebec City, Canada Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $67.00 USD per hour Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: France Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Peru Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $55.00 USD per hour Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: United States Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.