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Location: Belgrade, Serbia We are part of the Spain based Carazo Group , incorporated in 2012, managing a portfolio of 20+ carefully selected luxury brands with a strong international distribution network across Europe, the United States, and Latin America. Qualix D.O.O.Beograd is the Serbian entity of the international Adrian Magnus brand, part of the Carazo Enterprise Group founded in 2012. We operate across Europe, the United States, and Latin America. Our mission is to bring the world’s finest handcrafted cigars to enthusiasts with precision, integrity, and a deep respect for tradition. We are strengthening our footprint on the US market and looking for a B2B Sales Representative , based in Serbia, to drive outreach and sales growth across US distributors, retailers, shops, and cigar networks. This is an on-site role based in our New Belgrade office , requiring strong communication skills, outbound sales experience, and the ability to collaborate effectively with US-based partners and teams across time zones. You will play a key role in introducing premium cigar brands to new partners and supporting our expansion into the US market. Key Responsibilities Conduct outbound B2B sales outreach to distributors, retailers, and cigar shops across US Build and manage a sales pipeline — from prospecting to follow-up, negotiation, and closing Present product catalogs, pricing, and brand stories to potential partners Maintain accurate CRM records and follow structured outreach and follow-up cycles Coordinate virtual meetings, discovery calls, and product presentations Collaborate with internal teams (logistics, operations, distribution) to support order processing Provide ongoing market insights and feedback to help refine sales strategy Achieve monthly and quarterly sales targets aligned with growth goals Ensure excellent communication and relationship-building with all B2B partners Requirements Fluent English (C1 or higher) — ideally C2, both spoken and written Minimum 2 years of sales experience in an English-speaking market (B2B preferred) Strong background in outbound sales and cold outreach Based in Belgrade with availability to work across US time-zones 4pm - 12am Excellent communication, persuasion, and relationship-building skills Experience using CRM systems and modern sales tools Strong discipline in on-site work, self-organization, and time management Benefits Attractive performance bonuses based on results Opportunity for growth within a rapidly expanding international brand Work with premium global products and a multicultural team

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that. Finding senior research staff is a hard problem for a couple reasons: The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes. Our process is very competitive. The offer rate for senior research roles is less than one in a thousand. We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster. The role You'd work closely with our manager, research recruiting and the team to own recruiting for some of our Researcher , Program Officer, Senior Researcher , and Senior Program Officer roles. Your time split will vary depending on team needs and your interests, but might look something like this: Pipeline management, moving things forward: 35% Coordination and communication with e.g. hiring managers and work test graders: 15% Process improvements: 10% Application review: 10% Conducting and evaluating interviews: 10% Sourcing and outreach: 10% Candidate communication and closing: 10% A few strategic problems we’ll want you to think about: After candidates apply, is our assessment process effective? Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed. Where do we even find good candidates? The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own). How can we use data to make better decisions? Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it. What are ways our hiring process could be much better? This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information? You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition. About you You’re excited about GiveWell's mission and methods. You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different. You’re careful and truth-seeking with your beliefs. For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things. You're unusually curious and analytical. When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident. You have very high standards. We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar. You’re entrepreneurial and high agency. You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan. You're direct. You say what you actually think even when it's uncomfortable. You’re good at communicating in writing. You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo. If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply. Qualifications We care much more about the qualities described above than any specific background. That said, some things that might help: Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization Comfort with data — spreadsheets and basic quantitative analysis Strong written communication Experience working closely with executive-level leadership Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org. Key Questions What are some of the reasons I might not like this role? You’ll be running hiring rounds from start to finish. We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines. GiveWell has a unique approach to hiring, and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.” You’ll need to deeply understand our work and culture to succeed. We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates. You will be expected to hunt, not just farm. While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in. You’ll be collaborating with leaders with high expectations. We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results. What does growth look like in this role? GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader. What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like: Simulating a hiring manager intake conversation Walking through a sourcing strategy for a hard-to-fill role Reviewing a job description or process and offering a critique Writing a candidate outreach email or internal communication We'll share more specific details if we invite you to move forward, but our current plan is: Screen with a member of the Talent Acquisition team Work trial(s), which might include live conversations and written work A combined achievements, values, and technical interview with the Manager, Research Recruiting References Team structure This role sits on GiveWell's Research team and reports to our Manager of Research Recruiting. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation. We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context. The details Compensation: NYC or the San Francisco Bay Area: $149,600 All other U.S. and international locations: $136,000 Benefits: Our benefits include (in the US): Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we’d encourage you to check back and apply again for a role you’re eligible for. Visa sponsorship: We are not currently able to sponsor visas for this role. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: Brooklyn, NY Diagnostic Specialist (Autism / ADHD) Pay: $75.00 - $110.00 per hour Job Type: Full-Time / Contract JOB DESCRIPTION We here at Licensed Behavior Analyst Professional Services, PLLC are seeking an exceptional Diagnostic Specialist toconduct comprehensive evaluations for Autism Spectrum Disorder and ADHD. Your assessments open doors for children— to services, to support, and to a future where their needs are understood and met. This is profoundly meaningful work. RESPONSIBILITIES Conduct diagnostic evaluations for ASD and ADHD using standardized assessments (ADOS-2, ADI-R,and cognitive batteries) Lead exit meetings with families to explain diagnostic findings and recommend appropriate services Advocate with the DOE and insurance payers on behalf of clients requiring specialized placements Write comprehensive diagnostic reports that support educational and clinical service authorizations Collaborate with clinical and intake teams to ensure seamless transition to services SKILLS Licensure as a psychologist, psychiatrist, or developmental pediatrician Experience conducting and interpreting ADOS-2,ADI-R, or equivalent standardized assessments Experience conducting DOE advocacy meetings and writing reports for educational placements Exceptional communication skills for explaining complex findings to families Compassionate, family-centered approach to diagnostic work WHAT SETS YOU APART? You understand that a diagnosis is not just a label — it's a key that unlocks the support a child has been waiting for. Your assessments are thorough and your reports are clear, compelling, and actionable. You sit with families in their most vulnerable moments and you give them clarity, hope, and a path forward. Your advocacy for your clients is fierce and your clinical expertise is exceptional. BENEFITS Highly competitive hourly pay Flexible scheduling options Professional development and continuing education support Meaningful clinical impact on children and families Collaborative and mission-driven clinical team LBAPS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationalorigin, disability, or protected veteran status.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems. Your responsibilities will include: Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments Develop and maintain network design documentation, standards, and operational procedures Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6) Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure Automate network operations and workflows to improve reliability, scalability, and operational efficiency Ensure high availability and performance of production networks through proactive monitoring and continuous improvement What we expect you to have: Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies Deep expertise in routing protocols including BGP and IS-IS Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing Proven experience designing and documenting large-scale network architectures Experience developing and executing network testing strategies and validating vendor solutions Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox Working proficiency in English It will be an added bonus if you have: Working proficiency in an additional European language Experience with public cloud networking and GPU/InfiniBand environments Knowledge of software-defined networking (SDN) overlays in cloud environments Proficiency in Python, Go, or other programming languages in Linux environments Experience using programming languages for network automation and tooling Working conditions: Remote work within the United States Work closely with globally distributed infrastructure and engineering teams Participation in on-call rotations to support production environments Key employee benefits: Comprehensive health insurance 401(k) plan with company contribution Paid time off and public holidays Flexible working hours Professional development and certification support Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York City, NY | Seattle, WA; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Responsibilities: Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a growth or product area at significant scale Have 5+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling Experience with targeting, personalization, or uplift models in production Background at consumption-based, multi-product companies serving both consumers and enterprises Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Role We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring. Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes). What You’ll Do Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows. Help shape user-facing tools to make the platform approachable for all skill levels. Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane. Contribute to platform reliability, testing, observability, and operational excellence. Qualifications Solid engineering background, ideally in platform, data, or ML-adjacent teams. Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink). Empathy for users and interest in building abstractions that remove friction. Curious and collaborative mindset — eager to learn from others and contribute broadly. Experience with ML tooling, or data pipelines is a plus. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion. Pay Range: €7.102 — €8.878 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Cumberland Systematic is a multi-asset trading team focused on mid and high-frequency fully systematic strategies in the delta one space. We trade 24/7 globally with our team located primarily in Chicago and London. We are looking for a Software Engineer to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data. The team’s existing systems are written in Python and C++. Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and engineers are expected to gain an intimate understanding of the business and work directly with quantitative researchers on a daily basis. Responsibilities: Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research Accelerate the research lifecycle from data engineering to feature generation and analysis Integrate with diverse data sources such as blockchains, exchanges, and data vendors Test at the unit, functional, and integration levels Work within in a small team as well as independently with a strong user focus Provide on-call support as needed To qualify for this role, you must have: Python experience gained through professional experience Built complex systems in modern Python that are maintainable and safely refactorable Hands-on experience managing large, evolving timeseries data A working knowledge of type safety and type systems Strong verbal and written communication skills Strong internal motivation and a continual desire to learn Bonus points if you have: Contributions to open-source crypto projects Production experience running full or archive blockchain nodes at scale Collaborated with quantitative researchers A working knowledge of high-level machine learning concepts and lifecycle Experience with functional programming and immutable design principles Practical knowledge of major blockchain types and clients The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Long Island, NY Part-time Position Pay: $25.00 - $30.00 per hour We’re seeking a dedicated Registered Behavior Technician (RBT) to join our mission-driven team. If you're passionate about supporting children with autism and developmental disabilities, we’d love to have you on board! What You’ll Do : Implement ABA therapy programs under BCBA supervision in home, school, and center-based settings. Collect and document session data in Rethink within 24 hours. Follow individualized behavior intervention plans (BIPs). Participate in new hire check-ins and maintain professional communication with families. What We’re Looking For: At least 6 months of hands-on experience with children with developmental disabilities. Current RBT certification . Familiarity with ABA data collection and documentation. Strong communication and interpersonal skills . Patience, creativity, and a passion for helping the autism community. Why Join Us: Flexible scheduling options to fit your lifestyle. RBT certification support and professional development opportunities. Advancement to BCBA supervision track . Easy-to-use Rethink app for session tracking. A supportive, mission-driven team . What Sets You Apart: You’re a passionate advocate for children with autism. Your energy, creativity, and consistency shine through in every session. You excel in dynamic environments, keeping families informed and supported. You’re not just a technician; you’re a champion for every child in your care. Apply today www.lbaps.com

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175,000 $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Long Island, NY Company : LBAPS, (Licensed Behavior Analyst Professional Services, PLLC) Location : Long Island, NY + Manhattan Franklin Square Mastic Rosedale Ridge Stony Brook Washington Heights (Manhattan) Elmont Positions ; Both part-time & Full-time (FLEXIBLE!!) Hourly rate : $25.00 - $30.00 hourly (Starting) Join a Team That Truly Makes an Impact At LBAPS, (Licensed Behavior Analyst Professional Services, PLLC), we’re more than just a workplace—we’re a team driven by purpose. We’re looking for a passionate, motivated Registered Behavior Technician (RBT) who’s ready to make a meaningful difference in the lives of children with autism and developmental needs. If you’re someone who brings energy, compassion, and dedication to your work—we want to meet you. What You’ll Be Doing: Deliver high-quality ABA therapy under BCBA supervision Work across home, school, and/or center-based settings Implement individualized Behavior Intervention Plans (BIPs) with fidelity Collect and record session data accurately (Rethink) within 24 hours Collaborate with families and your clinical team to support client progress Participate in ongoing check-ins and professional support meetings What We’re Looking For: Current RBT certification (In good standing) At least 6 months of experience working with children with developmental disabilities Strong communication and interpersonal skills Experience with ABA data collection and documentation A patient, creative, and compassionate approach Bilingual (Spanish) is a plus. Why You’ll Love Working With Us? Flexible scheduling that fits your life Ongoing support and mentorship from experienced BCBAs Opportunities for career growth and BCBA supervision A collaborative, supportive, and mission-driven team culture Ready to Make a Difference? Apply today and be part of a team that’s changing lives—one session at a time.

Location: St. Petersburg, United States Freelance and Work from Home With FreeUp! Hi! We're FreeUp! FreeUp is a freelance marketplace dedicated to connected business owners with talented freelancers from all over the world. We believe that freelancing is the future of business and we're building the best community for freelancers possible. Want to learn more about FreeUp? Check out our website here , our Glassdoor reviews here , or read this feature in the LA Times about how we're the freelance platform everyone wants to be part of. About Graphic Design Freelancing on FreeUp Graphic Design freelance jobs posted daily Hourly rates can range from $10-$40/hour, depending on experience and location Set your own work from home schedule Work and earn as much as you want freelancing as a graphic designer 24/7 support for freelancers Webinars, resources, and a Slack Workspace to help you build your freelance business A dedicated internal team who is here to support you and help you succeed! Graphic Design Freelancer Application Requirements Extensive experience in graphic design Portfolio or website that proves you have the skills and experience as a graphic designer Strong English and communication skills Excellent internet Must be able to respond to clients within one business day. How to Apply to Be a FreeUp Freelance Graphic Designer Fill out the application form. Take the FreeUp Freelancers Course Quick Zoom video interview with a member of the FreeUp team Once you're in our network, start applying to sales freelance jobs and make money! Salary: $10 – $20 / hour

Location: US - Remote BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. As an employee-owned company, BRPH is known for its collaborative culture, technical excellence, and client-focused approach, bringing together multidisciplinary teams to design and build environments that are functional, efficient, and future-ready. Overview We’re looking for a CONSTRUCTION PROJECT ENGINEER - TRAVELING to join our dynamic team working across the USA and internationally . US Citizenship is required along with a current and valid US Passport . You will plan, direct, or coordinate activities concerned with the construction and maintenance of structures, facilities, and systems. You will participate in the conceptual development of a construction project and oversee its organization, scheduling, budgeting, implementation and completion. Requires up to 25% travel throughout the year. SUMMARY: The Construction Project Engineer is responsible for supporting the execution of assigned projects and the achievement of the project’s technical scope, schedule, and financial requirements and metrics. The primary responsibilities are to support the Project Manager with the daily technical activities required to plan and successfully execute the construction project requirements. Job requirements of the Construction Project Engineer may include travel, temporary duty assignments, or relocations. Willingness to travel for project assignments is highly desirable. ESSENTIAL DUTIES AND RESPONSIBILITIES: •    Managing job controls to ensure compliance with technical requirements, contracts, budget, schedule, and BIM coordination. •    Providing technical support in construction planning, quality control, interpretation of design, application of construction methods, resolution and documentation of design conflicts, and constructability reviews to ensure successful project completion. •    Preparing daily logs, project technical design submittals, necessary reports, and documenting inspection and testing results. •    Monitoring daily progress of craft and trade subcontractors to ensure compliance with technical and contract requirements. •    Responding to subcontractor RFI’s by reviewing and understanding the technical requirements and coordinating with the engineer of record as necessary. •    Reviewing construction subcontractor’s implementation plans, including a project management plan, procurement plan, safety plan, quality plan, and general means and methods to identify any risks in the plans. •    Assisting the Project Manager with the planning of the assigned projects, including establishing the baseline cost, baseline schedule, and cash flow. •    Assisting the Project Manager with subcontracting strategy, subcontractor development, estimating, buyout, and change management actions. •    Assisting the Project Manager in the creation and management of the project risk register to identify and mitigate potential risks to the project. •    Managing the project master schedule planning and implementing daily activities and supporting the management of three-week look-ahead schedules. •    Leading in securing the necessary permits, environmental approvals, and licenses. •    Leading a strong safety and quality program on the project. •    Leading the commissioning, closeout, and turnover process. EDUCATION and/or EXPERIENCE: •    BS in Construction Management, Engineering, or a similar degree. •    Experience with Procore or similar management software is a plus. •    TAKT planning experience is a plus. •    Strong communication skills, and the ability to work well with clients. •    Technical and application knowledge of the built environment infrastructure, including buildings and infrastructure. •    Must have experience in the construction industry. •    Understanding of project estimating and scheduling techniques. PHYSICAL REQUIREMENTS: •    Ability to navigate and move around the construction site, which may involve walking, climbing ladders and scaffolding, and standing for extended periods on uneven surfaces. •    Ability to lift up to 50 pounds. •    Ability to handle tools, and equipment, and perform tasks that require coordination and manual skills. •    Manual dexterity, hearing, mental acuity, typing, reaching, repetitive motion, speaking, talking, and visual acuity. •    Ability to operate a motor vehicle. •    Ability to stand and sit for periods longer than 30 minutes but not to exceed two hours consecutively. •    Ability to print and draw letters, numbers, words, characters, and symbols that are legible and understood by others. •    Ability to learn complex tasks and remember how to complete tasks without assistance once trained. •    Ability to control behavior when encountering stressful situations or short deadlines and to maintain a high level of concentration. •    Quick thinking and decision-making ability to address issues and challenges that may arise during construction. •    Endurance to work in various weather conditions and handle the physical demands of supervising a construction project. •    Strict adherence to safety protocols and the ability to enforce safety standards on the construction site. •    Adherence to personal protective equipment (PPE) requirements when on the construction site, such as hard hats, safety vests, and steel-toed boots. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. In compliance with pay transparency requirements, the salary range for this role is $76,000 - $142,600. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. In compliance with pay transparency requirements, the salary range for this role is shown below. This is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, experience and geographic location. California Pay Range $76,000 — $142,600 USD This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

Location: Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . *This is a remote role and can be performed anywhere in Brazil/Colombia* The Role We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift. Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here. This role is designed for candidates with experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas: Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows) RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses) Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video) STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis) Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data) What You'll Do 1) Own data and environment quality from an AI researcher perspective Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics. Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work. Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude). Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts. Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections. 2) Design and build datasets and RL environments for your capability area(s) Contribute to or lead the design of: Task suites (single-step and long-horizon workflows) Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators) Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics) Depending on your mapped capability area(s), you may focus on: Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes). Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks). STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity). Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models. 3) Build robust validation, denoising, and synthetic data systems Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review. Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls. Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts. Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage. 4) Use evaluations and training runs to prove impact Design and run evals that reflect the client's intended usage. Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift. When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways. 5) Collaborate effectively with large production teams without being ops-heavy Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals. You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery. You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL. Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners. Who We're Looking For 4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems). Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure. Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights. Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned. Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes. Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus. Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria. Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity. Strong pluses RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design). Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis). Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional). STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness. Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces). Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows. Why Turing Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks. Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar. Talent-dense team, where you'll find rapid iteration and an exceptional learning curve. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Salzburg, Austria Workplace: on-site Are you passionate about providing exceptional service to guests? Do you have a  positive attitude and a hands-on approach to customer service and want to work in a dynamic team? If so, we want you to join our team at Schloss Leopoldskron in Salzburg, Austria as a Waiter – Ad Hoc Help! WHO WE ARE Nestled by a small, idyllic lake and surrounded by 17 acres of stunning grounds, Schloss Leopoldskron is a historic hideaway just minutes from Salzburg’s Old Town. Built in 1736, our exclusive location offers 55 rooms, 12 palace suites, and two townhouses. With breathtaking views of the Alps and Hohensalzburg Fortress, we provide our guests with truly unforgettable experiences. Schloss Leopoldskron is more than just a hotel—it’s also the home of Salzburg Global , an international non-profit organization whose mission is to overcome barriers and open up a world of better possibilities. We seek to be an exemplary international institution in terms of equity and environmental sustainability. We strongly encourage candidates from all backgrounds to apply and join us in our work. WHAT WE OFFER We are proud to offer our employees a range of benefits, including: Flexible working hours to support a healthy work-life balance A collaborative and vibrant work environment Opportunities for personal growth and professional development Complimentary meals during your shifts Free on-site parking Hourly wage: 18 EUR At Schloss Leopoldskron , we believe that our team is our most valuable asset. We are committed to creating a supportive and inclusive work environment that fosters personal and professional growth. As WAITER – Ad Hoc HELP , you will have the opportunity to work alongside a diverse and dynamic team, where your contributions will be valued and celebrated. WHAT YOU'LL BE DOING Deliver outstanding service during breakfast, seminars, and events (no à-la-carte) Provide a welcoming and friendly experience for our international guests Ensure smooth operations and maintain detailed documentation of daily activities Take ownership of tasks and complete them reliably and independently Adhere to HACCP guidelines WHO WE’RE LOOKING FOR Enthusiastic, guest-oriented mindset with a passion for service excellence Strong sense of responsibility, punctuality, and reliability Initiative, dedication, and a team-oriented approach German or English skills (German skills preferred) At Schloss Leopoldskron , we are committed to providing a warm and inclusive environment for all our hotel guests, visitors, and program participants. We are an Equal Opportunity Employer and do not discriminate against applicants or employees. Sustainable business practices are our highest priority in all areas. We encourage creative, equitable, and sustainable change and develop environmentally conscious and socially responsible practices at all levels. We believe that every team member plays a critical role in our journey toward sustainability.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity The Chinese Growth Center drives growth across Chinese-speaking markets. This role sits close to the center of decision-making, supporting the Head of CGC directly on high-priority cross-functional initiatives. The immediate focus is the practical application of AI in business operations — identifying where AI can drive real productivity gains, and making it actually happen. Beyond the AI workstream, this role will evolve to cover other strategic initiatives over time. This is a role for someone who takes ownership end-to-end. You will be expected to get your hands dirty, move fast, and deliver — not just coordinate. What You’ll Be Doing Drive the full lifecycle of AI initiatives hands-on — from scoping and tool research to solution design, testing, and rollout Work across teams to embed AI tools into real business workflows and track measurable outcomes Identify blockers early and solve them proactively, without waiting to be directed Stay current on emerging AI tools and synthesize findings into repeatable best practices for the team Own progress tracking and delivery management for key initiatives, keeping milestones on track and quality high Build lightweight dashboards and reporting to keep the Head of CGC informed and decisions moving Pick up new initiatives quickly, build context fast, and deliver in ambiguous or fast-changing situations Surface collaboration friction across teams and drive alignment where needed What We Look For In You Bachelor's degree or above Deep AI User, with practical experience using AI tools (e.g. ChatGPT, Claude, Cursor, Midjourney) — able to speak to specific use cases and outcomes Strong ownership and hands-on ability to work steadily under pressure, managing multiple workstreams in parallel and still deliver quality Clear communicator who is able to collaborate and convey work process well to various stakeholders Proficiency in English as a working language, and fluent in Mandarin in order to service Mandarin-speaking clients (as required in the role) Nice to Haves Experience in internet, content, e-commerce, or growth-related roles Background in cross-functional project management or initiative delivery Hands-on with Prompt Engineering or workflow automation tools (Make, Zapier, n8n) Familiarity with Chinese-speaking market dynamics and user behavior Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Miami, United States; United States; New York, United States; Boston, United States; Charleston, United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. We only admit the top candidates into our talent pool, ensuring they are matched with exclusive, long-term opportunities. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our talent pool. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. About the Role We are looking for a motivated and results-driven Sales Development Representative (SDR) to join our growing sales team. In this role, you will be responsible for generating new business opportunities, engaging with potential clients, and building a strong sales pipeline for the Account Executive team. If you are energetic, persuasive, and thrive in a fast-paced environment, this role is for you. Key Responsibilities Identify and prospect potential clients through outbound channels (cold calls, emails, LinkedIn) Qualify inbound and outbound leads to determine fit and readiness Schedule meetings and demos for Account Executives Maintain accurate records of all activities in the CRM Collaborate with marketing and sales teams to optimize outreach strategies Consistently meet or exceed monthly quotas for meetings and pipeline generation Requirements Must be based in the East Coast (USA) 3+ years of experience in a Sales Development, Business Development, or similar role Proven track record of meeting or exceeding targets Strong communication and interpersonal skills Experience with CRM tools (e.g., Salesforce, HubSpot, or similar) Ability to handle objections and build rapport quickly Self-motivated with a strong work ethic Benefits Competitive base salary + performance-based commission Opportunity to work with global clients Career growth and progression into Account Executive roles Supportive and collaborative team environment

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. RESPONSIBILITIES: - Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations. - Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency. - Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions. - Contribute to the team’s codebase with high-quality, testable, and well-documented code. - Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems. - Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement. - Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 2+ years of experience in backend software development with a strong foundation in computer science principles - Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar). - Experience building and maintaining APIs, integrations, and distributed systems. - Comfortable working with relational databases, data modeling, and query optimization. - Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - Excellent communication skills and ability to work cross-functionally with technical and non-technical teams - Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment - A growth mindset and eagerness to learn from feedback and new challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.