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Location: Salt Lake City, Utah Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Responsibilities Monitor security alerts and events in the SIEM, endpoint detection and response (EDR), email security, and cloud security tools under the guidance of Security Specialists. Perform initial (Tier 1) triage of alerts: gather context, determine whether an alert is a true positive, false positive, or benign, document findings, and escalate per SOC runbooks. Work the SOC ticket queue: keep tickets accurate and up to date, track investigations to closure, and communicate status clearly to the team. Investigate employee-reported phishing emails: analyze headers, links, and attachments in a sandbox, help block malicious indicators, and assist with user notifications. Assist with vulnerability management by reviewing scan results, helping validate findings, and tracking remediation with system owners. Help tune detections and reduce alert noise by identifying recurring false-positive patterns and proposing rule adjustments. Review threat intelligence and vendor advisories, summarize what is relevant to Filevine, and help map observed activity to the MITRE ATT&CK framework. Support incident response activities as directed, including evidence collection, timeline building, and note-taking during active incidents. Create and improve SOC documentation: runbooks, playbooks, knowledge base articles, and onboarding guides. Complete a capstone project (for example, building a new detection, automating a triage step with a script, or improving a playbook) and present the results to the Security team at the end of the internship. What You Will Learn How an enterprise SOC operates day to day: the alert lifecycle, escalation paths, incident handling (aligned to NIST SP 800-61), and the metrics used to measure a SOC. Hands-on use of production security tooling, including a SIEM, EDR, email security, identity and access management, and cloud security platforms. Practical investigation skills: log analysis, phishing analysis, basic malware triage, and writing clear, defensible investigation notes. How security operations supports compliance obligations (for example, SOC 2 and customer security requirements) in a legal technology company that handles sensitive client data. Professional skills: working a queue, communicating with engineers and non-technical stakeholders, and receiving structured feedback from a dedicated mentor. Qualifications Pursuing a career in cybersecurity or a related technical field through a degree program, certification track, bootcamp, or self-study. Formal enrollment is not required; demonstrable experience (a documented home lab, CTF results, open-source contributions, or prior IT, help desk, compliance or system administration work) is equally welcome. Working knowledge of networking fundamentals (TCP/IP, DNS, HTTP/S, common ports and protocols), operating systems, and introductory security concepts, gained through coursework, certifications, or hands-on experience. Foundational understanding of common attack techniques (phishing, malware, credential abuse, privilege escalation, lateral movement) and the defensive controls that counter them. Hands-on exposure to security tools through coursework, labs, competitions, a home lab, or prior work, such as Wireshark, Nmap, a SIEM (Splunk, Elastic, Microsoft Sentinel, or similar), or Security Onion. Strong written and verbal communication skills, including the ability to document technical findings clearly and concisely for both technical and non-technical readers. Curiosity, attention to detail, sound judgment, and a willingness to ask questions and learn from feedback. Demonstrated integrity and the ability to handle confidential information with discretion. Able to commit to the stated weekly schedule for the duration of the internship. Preferred Qualifications Progress toward a security or IT certification such as CompTIA Security+, Network+, CySA+, or GIAC GFACT / GSEC — started, in progress, or planned. Any self-directed security learning: Capture the Flag (CTF) events, collegiate competitions (for example, CCDC or National Cyber League), a campus security club, a home lab, online labs such as TryHackMe or Hack The Box, or a security-focused course sequence. Awareness of common security frameworks — MITRE ATT&CK, the NIST Cybersecurity Framework, or NIST SP 800-61 incident handling guidance. Classroom-level familiarity is enough; we will teach the rest. Any exposure to cloud platforms (AWS, Azure, or GCP) or identity providers (Okta, Microsoft Entra ID, or similar), including coursework, a free-tier account, or administering accounts in a prior job. Comfort with ticketing, tracking, or documentation tools such as Jira, Confluence, ServiceNow, or a GRC/audit platform. Background in compliance, audit, risk, privacy, or a similar control-oriented role — including SOC 2, ISO 27001, or HIPAA work — and an interest in moving toward the technical side of security. Genuine enthusiasm for the field — following security news, podcasts, or write-ups, and able to talk about a breach or technique that caught your interest. Internship Perks Paid internship with competitive hourly compensation Dedicated mentor and structured learning plan for the duration of the internship Real production experience and a capstone project to showcase in future interviews Potential pathway to a full-time Jr. Security Specialist  – Tier 1 role for high performers Open office working atmosphere Laptop provided for the duration of the internship Work Location Expectation:This position is based out of our Salt Lake City, Chicago, or San Francisco offices. Candidates residing in or near these metro areas are expected to work on a hybrid (2-3 days in-office/week) or fully onsite basis.     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Annapolis, MD Position Objective: Advanced Medical Assistant The Advanced Medical Assistant is an essential part of the Advanced Primary Care Team and facilitates meeting the goals of the Maryland Primary Care Program and Value Based Contracts.  Their main responsibilities are to coordinate patient care, provide patient outreach and education and identify barriers that may affect the patient from meeting his/her treatment goals. The Advanced Medical Assistant will perform a variety of administrative and clinical tasks to support the provider/practice to ensure the patient receives the right care at the right time and right place to decrease hospital re-admission and unnecessary utilization of Emergency Room and/or Urgent Care. The Advanced Medical Assistant maintains knowledge of care coordination/management, behavioral health resources, CRISP Portal/Reports, Value Based Contract Portals, EPIC Registries and patient self-management tools/resources. Essential Job Duties: Monitor and validate patient attribution to the practice and the care teams within the practice (known as empanelment). Ensure patients identified as increased risk receive targeted, proactive, relationship-based (longitudinal) care coordination and/or care management. Pre-visit planning workflow for Annual Wellness Visits scheduled with the LPN Team and/or practice provider. Provide patient education and resources to engage the patient in his/her treatment plan and improve their overall health. Actively manages assigned panel of to develop relationship with patient as an integral member of team, provide follow-up contact with patient as indicated to ensure compliance with recommendations medications, lab/x-ray, specialist visits, PCP visits, dieticians, CDE, etc. Maintains access to all Value Based Payor portals for attestation of metrics and/or to pull appropriate care gap and utilization reports. Provides patient outreach for TCM/ED visits within required timeframe, i.e. within 48 hours inpatient discharge; within 7 days emergency room discharge.  The Advanced Medical Assistant will schedule a follow up appointment with the patients primary care provider or Advanced Internal Medicine. Assist patients in setting SMART goals for self -management, teaching them how to do self-management tasks and report abnormal findings to their provider team; Assess barriers when patient has not met treatments goals, is not following treatment plan of care, or has not kept important appointments; refers patient to the Community Care Management Team (RN, LCSW, CHW) for intervention. Identify patient social and behavioral health needs, consult with clinician, as appropriate provide warm hand off to Ambulatory Care Management, social work, care navigation, and behavioral health services. Collaborate with providers, and other frequently used healthcare resources to develop effective timely communication between the patients care teams; and in assessing the patients progress toward individual health care goals Oversees the development, procurement, and adoption of patient self-management educational resources used by the primary clinical teams. Ensure targeted patients who have received follow-up after ED, hospital discharge, or other triggering events receive short-term (episodic) care management if applicable. Contribute to a positive experience for patients and families through courteous telephone interactions and interview activities, accurate and expeditious routing, as well as referral to appropriate clinical staff when necessary. Recognize and report data inconsistencies to appropriate practice personnel, and facilitate appropriate data capture and reporting methodologies Contribute to teamwork within and between departments. Regularly participate in meetings as deemed appropriate by leadership. Provide and receive constructive ideas, suggestions and feedback in a positive manner. Work collaboratively with co-workers to effectively resolve issues that impact departmental operations. Monitor and collaborate with practice to improve performance on key outcomes, including cost of care, electronic clinical quality measures, beneficiary experience, and utilization measures. Educational/Experience Requirements: The minimum level of education and experience for this position includes: Minimum of High School Diploma Completion of accredited medical assistant training program preferred. Three years of experience as a Medical Assistant Experience with Microsoft Office and Excel. Strong customer service skills Basic math skills. Required License/Certifications: CMA, RMA or AAMA (through an approved/accredited organization). Must maintain Certification or credentials while employed required within 6 months of hire. CPR Certified Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands –Light Work The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary Updated: 2.5.24 Pay Range $20 — $26.78 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. About the Role As a Senior Software Engineer on the Unpublished R&D Product, you will own and evolve tools or CI/CD modules within a defined area. You will contribute to Unreal Engine tooling, build pipeline maintenance, and engineering productivity improvements. Working closely with Client, Gameplay, Technical Art, Art, and QA teams, you will turn production challenges into reliable, reusable tools and workflows. You will report into the Sr Manager, Software Engineering of the team. Responsibilities: Maintain and optimize CI/CD and build pipelines, supporting automated builds, testing, packaging, and release delivery. Maintain jobs, scripts, and configurations in Horde, BuildGraph, or similar systems to support development, testing, and release builds. Develop Unreal Editor tools, automation scripts, asset validation tools, and data processing utilities using C++, Python, and related technologies. Diagnose and resolve build, Cook, packaging, and environment dependency issues, while improving logging, alerting, and recovery mechanisms. Analyze build efficiency and manual operational steps, and drive the standardization of build, packaging, and testing workflows. Partner with Client, Gameplay, Technical Art, Art, and QA teams to support tool adoption, release execution, and issue resolution. Qualifications: 3+ years of experience in software engineering, game tools, build systems, or CI/CD development. Strong proficiency in either C++ or Python; experience reading or maintaining code in the other language is a plus. Experience with Unreal Engine project or tool development, including an understanding of UBT, UAT, and BuildGraph, as well as familiarity with Editor, Build, Cook, and Package workflows. Familiarity with one or more CI/CD pipeline or build orchestration systems, such as Jenkins, Horde, or GitHub Actions. Familiarity with Git, Perforce, or other version control systems. Understanding of the core processes involved in automated builds, automated testing, packaging, artifact management, and version releases. Ability to independently drive engineering tasks within a defined scope, with strong cross-functional collaboration and communication skills. Strong log analysis, troubleshooting, and cross-environment debugging skills. Desired Qualifications: Experience with UAT, UBT, Unreal automated testing, or smoke testing. Experience developing tools for asset validation, performance checks, Cook validation, or resource pipelines. Experience with multi-platform, multi-configuration, distributed, or cloud builds. A track record of improving build stability, reducing build times, or lowering the cost of manual operations. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. About the Role As a Senior Technical Artist, Rendering on the Unpublished R&D Product team, you will translate creative direction into scalable, performant real-time rendering solutions. You will work across materials, shaders, lighting, and rendering systems in Unreal Engine 5 (UE5), partnering with engineering, art, and design teams to address visual and technical challenges. You will help improve rendering workflows, establish technical standards, and support consistent visual quality across hardware platforms. You will report into the Tech Lead of the team. Responsibilities: Develop and implement rendering solutions that support visual direction and maintain consistency across platforms. Create, maintain, and optimize UE5 materials, shaders, and related rendering content. Partner with rendering engineers, artists, and designers to deliver rendering solutions within established performance budgets. Define rendering scalability settings, quality tiers, and fallback strategies for different hardware configurations. Profile and optimize shader performance, GPU workloads, memory utilization, and asset loading. Improve rendering workflows, technical standards, production tools, and documentation to support efficient content creation. Provide technical guidance to artists, resolve complex rendering challenges, and promote consistent rendering practices across the team. Qualifications: 5+ years of professional experience in technical art, real-time graphics, or related game development disciplines, including 4+ years working with Unreal Engine. Experience contributing rendering or technical art solutions to a shipped or long-running production project. Proficiency with UE5 material systems, shaders, and real-time rendering workflows, including the ability to read and write HLSL. Strong understanding of real-time rendering principles, lighting, material behavior, and content production workflows. Experience translating visual direction into technical rendering implementations involving materials, lighting, post-processing, or visual composition. Experience using profiling and performance analysis tools to identify and resolve GPU, shader, memory, and rendering performance issues across hardware configurations. Experience documenting technical solutions and collaborating with artists and engineers to balance visual quality, performance, and maintainability. Preferred Qualifications: Experience adapting rendering solutions across multiple platforms, including quality tiers, feature fallbacks, and performance optimization strategies. Experience developing stylized rendering solutions or rendering systems for characters, environments, visual effects, vegetation, or related visual content. Experience establishing asset standards, rendering guidelines, technical documentation, or performance budget frameworks. Experience implementing and optimizing advanced UE5 rendering features, including Lumen, Nanite, and Virtual Shadow Maps. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Senior Software Engineer (Backend) interested in working across the stack to join our fully distributed engineering team to help us continue our impressive growth from 2+ million daily active users to beyond! Our stack primarily includes Node.js, TypeScript, and SQL.  As an engineering team, we design and build scalable systems using a service-oriented and event-driven architecture that serve millions of daily users and some of the largest youth and amateur sports organizations in the world. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Develop engaging experiences for our millions of users across our mobile and web applications. Design and implement scalable apps and services, integrating these into an evolving unified product and system architecture. Brainstorm and evaluate new product features in collaboration with the product and UX team. Collaborate and pair with other developers to develop solutions and teach technical skills. Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement Champion and implement automated testing practices to uphold the dependability and stability of backend systems, while also taking ownership of the overall reliability of the team's services. Actively engage in on-call responsibilities and contribute to incident management efforts. Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. Help teammates overcome obstacles, resolve blockers, and complete work tasks. What Will Set You Up for Success: 5+ years of relevant experience, leading large projects on high-scale, distributed software systems as a software engineer Proficient in full stack development with Node, Python, Golang, Ruby,  Javascript utilizing React or similar. Experience with direct usage of SQL and relational databases such as MySQL / GCP Cloud SQL along with migrations, profiling, and optimization of such databases. Hands-on experience developing APIs, services for mobile applications and web clients at scale. Successfully delivered complex projects including debugging problems that may span a number of systems. Experience working with and architecting APIs, event streams, webhooks , etc. Experience working within and towards a distributed system. Extra points if you’ve built services for livestreaming, advertising, or subscriptions. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $150,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: Abu Dhabi, United Arab Emirates SMS Data Collection Participant - Arabic (UAE) Rate: $3.25 USD per qualified message Location: Remote: Participants must be based in United Arab Emirates Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and United Arab Emirates phone number The Project Productive Playhouse is seeking Arabic-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $3.25 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in Arabic . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions must be SMS messages received directly on your mobile phone. Only submissions that meet requirements will be eligible for payment Project Requirements You may be a good fit if you: Are a native or expert-level fluency in Arabic , as spoken in United Arab Emirates Currently located in United Arab Emirates Have access to your own mobile device You must have access to your own United Arab Emirates phone number Can follow project guidelines and quality standards Why PPH? Your language skills are the whole point — and this project pays for them Apply once, get contacted directly when a spot opens — no chasing Work from anywhere, on your own schedule, alongside any other work you do Clear task specs, no ongoing oversight, no micromanagement Real project experience with a global data and language services company Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: Jeddah, Makkah Region, Saudi Arabia SMS Data Collection Participant - Arabic (Saudi Arabia) Rate: $2.00 USD per qualified message Location: Remote: Participants must be based in Saudi Arabia Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and Saudi Arabia phone number The Project Productive Playhouse is seeking Arabic-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $2.00 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in Arabic . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions must be SMS messages received directly on your mobile phone. Only submissions that meet requirements will be eligible for payment Project Requirements You may be a good fit if you: Are a native or expert-level fluency in Arabic , as spoken in Saudi Arabia Currently located in Saudi Arabia Have access to your own mobile device You must have access to your own Saudi Arabia phone number Can follow project guidelines and quality standards Why PPH? Your language skills are the whole point — and this project pays for them Apply once, get contacted directly when a spot opens — no chasing Work from anywhere, on your own schedule, alongside any other work you do Clear task specs, no ongoing oversight, no micromanagement Real project experience with a global data and language services company Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: Erbil, Erbil Governorate, Iraq SMS Data Collection Participant - Arabic (Iraq) Rate: $2.50 USD per qualified message Location: Remote: Participants must be based in Iraq Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and Iraq phone number The Project Productive Playhouse is seeking Arabic-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $2.50 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in Arabic . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions must be SMS messages received directly on your mobile phone. Only submissions that meet requirements will be eligible for payment Project Requirements You may be a good fit if you: Are a native or expert-level fluency in Arabic , as spoken in Iraq Currently located in Iraq Have access to your own mobile device You must have access to your own Iraq phone number Can follow project guidelines and quality standards Why PPH? Your language skills are the whole point — and this project pays for them Apply once, get contacted directly when a spot opens — no chasing Work from anywhere, on your own schedule, alongside any other work you do Clear task specs, no ongoing oversight, no micromanagement Real project experience with a global data and language services company Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: San Francisco Workplace: OnSite Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-moving AI startup in San Francisco that recently closed a $30M Series A with participation from Y Combinator. The team builds fully managed reinforcement learning (RL) environments and benchmarks - high-quality computer-use and tool-use "gyms" - that frontier AI labs use to train agents to do real financial services work: Excel modeling, PowerPoint creation, and more across investment banking, private equity and hedge funds. They work directly with OpenAI, Anthropic and Google DeepMind to train financial services capabilities into their next-gen models - when Claude gets better at Excel, that's partly our client's work. And they're doing it with strong revenue traction already in place. THE MISSION Train the "Financial Services Super Intelligence." Our client works directly with frontier labs to teach the next generation of AI agents how to do real finance work - at the quality bar of the best bankers, investors, and consultants. THE OPPORTUNITY As a Strategic Project Lead, you'll drive account delivery on a small, high-impact core team. You'll work directly with frontier lab customers, shape the product alongside engineering, and help define how AI agents learn to do finance. This is a rare chance to bring your finance or consulting background into the center of frontier AI - with real ownership from day one. WHAT YOU'LL DO - Own day-to-day delivery and quality of training environments shipped to frontier lab customers, including managing contractors and running experiments - Act as one of the lead product managers - form opinions on the product, work with engineers to ship features, and drive the product roadmap in tight partnership with engineering - Manage customer relationships - understand requirements, set expectations and make sure every deliverable meets the quality bar - Build operational systems - documentation, quality guardrails and scalable processes that support rapid project cycles - Contribute to strategic and financial planning across pricing, revenue modeling and project economics WHAT YOU BRING - 2+ years in investment banking, private equity, hedge funds or finance-focused consulting - and the ability to explain the work you've done in depth - A track record of running projects or workstreams end to end, including managing external stakeholders, contractors or high-level client deliverables - Startup experience or exposure - startup operations, startup internships, or starting your own company - A self-starter track record - an entrepreneurial side project, a business you started, or something meaningful you built on your own - Hands-on building with AI tools (Claude Code, Codex, Cursor or similar) - be ready to explain what you built, why it mattered and how it relates to this role - Ability to work full-time in person in San Francisco, 5 days a week - Nice-to-have: a degree from a strong technical or CS program KEY SUCCESS DRIVERS - Depth - you can walk through a deal or project you owned in detail: how it started, how the pieces fit, what you delivered - Builder mindset - you experiment with AI tools and build with them, not just prompt them - Ownership - you take projects from messy requirements to a finished, high-quality deliverable - Genuine excitement about AI - you're curious about RL environments and why training AI on finance work matters - Client presence - you're comfortable working with sophisticated external customers and setting clear expectations - Stability and momentum - steady progression and meaningful tenure in recent roles - In-person energy - you want to build side by side with a small team, 5 days a week WHY JOIN? - Direct impact on frontier AI - your work shapes how the next generation of AI models learns to do finance - Competitive comp - $175K-$275K base plus 0.05-0.3% early-stage equity upside and flexible bonus structures - Fully covered healthcare, including dental and vision - Free meals while working and a gym membership - Free transportation to and from the office (Uber/Waymo) - $10K+ relocation stipend - 401(k) with 4% match - Visa sponsorship - H-1B transfers supported; new sponsorship available, including OPT/new grad INTERVIEWING PROCESS 1. Initial Screen - intro call on your background and past work 2. Second Round - practical deep dive with the project leads 3. Take-Home Case Study - a scoped project based on real work 4. Case Study Presentation - present your case study to the team We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: Product marketing at Honeycomb is a small team with a wide surface area. We decide how Honeycomb is positioned, what we say at launch, what the sales team brings into a deal, and how an engineer who has never heard of us understands the product in the first two minutes. Because the team is small, the work is broad: in one week you might rewrite a product page, build a competitive one-pager, interview a customer, and run the launch checklist for a new feature. This role is built for someone early in a product marketing career who wants to systematically improve the customer buying journey. As a product and messaging expert, you will partner with go-to-market teams to drive business impact through sales and marketing campaigns. You will get real ownership of real launches, and you will have senior product marketers, a technical field team, and engineers who like explaining their work close at hand. Our audience is engineers and platform teams, so the bar is accuracy first: we would rather be precise and useful than clever. What you’ll do in the role: You will support and execute product marketing across Honeycomb's core products, with a generalist mix of messaging, launches, content, enablement, and competitive work. Expect to start by contributing to pieces of each and to own more of them over your first year. Responsibilities Messaging and positioning: Write and maintain messaging for features and product areas, from the one-sentence version an engineer reads on a web page to the slide a sales engineer uses in a technical conversation. Keep it accurate and grounded in what the product actually does. Launches: Run launch execution for small and mid-sized releases and support the larger ones. Build the plan, write the assets, coordinate Product, Marketing, Sales Engineering, and Customer Success, and report on how the launch performed. Content: Produce the practical material that helps people evaluate and adopt Honeycomb: blog posts, solution briefs, web copy, demo scripts, FAQs, and customer-facing one-pagers. Sales enablement: Equip the field with what they need to run a good conversation, including pitch narratives, objection handling, battlecards, and release updates. Join customer calls, listen to recorded ones, and fix the material that isn't landing. Competitive and market intelligence: Track the observability market and competitor moves. Maintain competitive assets and keep them current and honest, so the field trusts them. Voice of customer and proof points: Talk to customers and prospects, turn what you hear into case studies, quotes, and proof points, and bring the patterns back to Product and Marketing. Measurement: Help define what success looks like for your work, pull the data, and share what you learn, including the things that didn't work. What you’ll bring to the role: 2 to 5 years of experience in product marketing, or in a closely adjacent go-to-market role such as content marketing, sales engineering, technical writing, developer relations, or product management, with at least some of it in B2B SaaS. Strong writing. You can take a dense technical explanation and turn it into something short, accurate, and useful, and you can tell the difference between the two yourself. Curiosity about technical products and the patience to learn how they work. You ask engineers questions until you actually understand the answer, and you are comfortable in a product that assumes a technical user. Passion about the team winning: Sales, marketing, and product teams will depend on you to succeed. Their success is your success, but you’re not simply an order taker: you look for the smart solutions and don’t wait to be asked. The ability to run a project across teams without formal authority: setting a timeline, chasing the open items, and telling people clearly when something has slipped. Comfort with ambiguity and a bias toward shipping. Our priorities move, the team is small, and the best work here comes from people who start rather than wait for a brief. Willingness to use data to decide and to evaluate your own work honestly. Demonstrated experience applying AI tooling in your work. Nice to have Exposure to observability, developer tools, distributed tracing, OpenTelemetry, platform engineering, or reliability and SLO practices. We will teach this, but a head start helps. Experience marketing to engineers as the primary audience. Hands-on familiarity with AI and LLM tooling, including coding agents and MCP-based workflows. Experience with webinars, conference talks, or community programs. Experience working in a fully distributed company. Base Salary based on level of experience $171,000 — $261,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: Product marketing at Honeycomb is a small team with a wide surface area. We decide how Honeycomb is positioned, what we say at launch, what the sales team brings into a deal, and how an engineer who has never heard of us understands the product in the first two minutes. Because the team is small, the work is broad: in one week you might rewrite a product page, build a competitive one-pager, interview a customer, and run the launch checklist for a new feature. This role is built for someone early in a product marketing career who wants to systematically improve the customer buying journey. As a product and messaging expert, you will partner with go-to-market teams to drive business impact through sales and marketing campaigns. You will get real ownership of real launches, and you will have senior product marketers, a technical field team, and engineers who like explaining their work close at hand. Our audience is engineers and platform teams, so the bar is accuracy first: we would rather be precise and useful than clever. What you’ll do in the role: You will support and execute product marketing across Honeycomb's core products, with a generalist mix of messaging, launches, content, enablement, and competitive work. Expect to start by contributing to pieces of each and to own more of them over your first year. Responsibilities Messaging and positioning: Write and maintain messaging for features and product areas, from the one-sentence version an engineer reads on a web page to the slide a sales engineer uses in a technical conversation. Keep it accurate and grounded in what the product actually does. Launches: Run launch execution for small and mid-sized releases and support the larger ones. Build the plan, write the assets, coordinate Product, Marketing, Sales Engineering, and Customer Success, and report on how the launch performed. Content: Produce the practical material that helps people evaluate and adopt Honeycomb: blog posts, solution briefs, web copy, demo scripts, FAQs, and customer-facing one-pagers. Sales enablement: Equip the field with what they need to run a good conversation, including pitch narratives, objection handling, battlecards, and release updates. Join customer calls, listen to recorded ones, and fix the material that isn't landing. Competitive and market intelligence: Track the observability market and competitor moves. Maintain competitive assets and keep them current and honest, so the field trusts them. Voice of customer and proof points: Talk to customers and prospects, turn what you hear into case studies, quotes, and proof points, and bring the patterns back to Product and Marketing. Measurement: Help define what success looks like for your work, pull the data, and share what you learn, including the things that didn't work. What you’ll bring to the role: 2 to 5 years of experience in product marketing, or in a closely adjacent go-to-market role such as content marketing, sales engineering, technical writing, developer relations, or product management, with at least some of it in B2B SaaS. Strong writing. You can take a dense technical explanation and turn it into something short, accurate, and useful, and you can tell the difference between the two yourself. Curiosity about technical products and the patience to learn how they work. You ask engineers questions until you actually understand the answer, and you are comfortable in a product that assumes a technical user. Passion about the team winning: Sales, marketing, and product teams will depend on you to succeed. Their success is your success, but you’re not simply an order taker: you look for the smart solutions and don’t wait to be asked. The ability to run a project across teams without formal authority: setting a timeline, chasing the open items, and telling people clearly when something has slipped. Comfort with ambiguity and a bias toward shipping. Our priorities move, the team is small, and the best work here comes from people who start rather than wait for a brief. Willingness to use data to decide and to evaluate your own work honestly. Demonstrated experience applying AI tooling in your work. Nice to have Exposure to observability, developer tools, distributed tracing, OpenTelemetry, platform engineering, or reliability and SLO practices. We will teach this, but a head start helps. Experience marketing to engineers as the primary audience. Hands-on familiarity with AI and LLM tooling, including coding agents and MCP-based workflows. Experience with webinars, conference talks, or community programs. Experience working in a fully distributed company. Base Salary based on level of experience $125,000 — $190,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Arlington, VA, United States Job Title Field Artillery Basic Officer Leader Course (FABOLC) – Technical Assistance Field Team (TAFT) Instructor Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Iraq Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS International is seeking former US Military personnel with experience instructing at the US Army or USMC Field Artillery Basic Officer Leader Course (FABOLC). The Government of Iraq (GoI) is requiring former FABOLC instructors to stand up and teach all subjects associated with the US Military version of FABOLC. Requirements • Must have served as an Instructor at the Schoolhouse • Prior Staff Sergeant (E6 or Higher) • Must be fluent in English • Must possess a valid/current US Passport • Able to stand for extended periods of time and work outdoors in all weather conditions. • Must be able to pass the US Army Physical Fitness Test within their age category. • Be able to perform distance ruck marches (05 to 18 miles), carrying up to 50lbs. • Must have no physical limitations inhibiting the performance of associated combat arms tasks. • Able to instruct via use of an interpreter All US Army (USMC Equivalent) MOSs listed below, must have served as an instructor at the US Army or USMC Field Artillery BOLC schoolhouse. 13A – Field Artillery Officer 13B – Cannon Crewmember 13P/J Fire Direction Crew Member 13F – Fire Support Specialist 131A – Field Artillery Warrant Officer (Targeting Technician) Compensation Competitive Hourly Pay Benefits Questions? Please reach out to jfranceschi@idsinternational.com for additional questions or information.

Location: Astana, Kazakhstan Russian AI Product Evaluator 🎯 The Project Productive Playhouse is building a talent pool of Russian speakers for an upcoming project testing and evaluating leading AI chatbots. The objective is to enhance response quality through direct user interaction with the various AI models. Open to freelancers based outside the U.S. This is more than one job. Apply once, and we'll keep you in mind for this project — and future ones that need your language skills. The Details We’re looking for independent contractor engagement (task-based - project-based). Pay Rate: $15.00 USD per hour You choose which tasks to take, set your own hours, and are free to work with other clients any time. You can stay flexible as the project evolves. This is an iterative project, work arrives in batches (there may be pauses between them). What You’ll Do As an AI Evaluator, you'll play a critical role in shaping and improving the next generation of Generative AI. You'll participate in structured, hands-on evaluations by interacting directly with various AI models to assess their capabilities, safety, and helpfulness. Your insights and data will directly inform model development and optimization. Exact tasks vary by project and will be spelled out in that project's Statement of Work (SOW) before you start. Depending on the role, your work may include: Testing and evaluating AI chatbots or language models through structured conversations, using assigned goals and prompts. Voice-based interactions with AI models — for projects that involve this, sessions are recorded, and audio may be shared with the client as part of the evaluation deliverable. Submitting deliverables (write-ups, ratings, screenshots, or recordings) in the format each task specifies. ✅ What We're Looking For Native or expert-level fluency in Russian, as spoken in Russia Strong English reading, writing, and communication skills - assessment maybe required 18 years of age or older Hands-on experience using AI models or large language models Comfortable with both written and voice-based conversation — and good at asking sharp follow-ups Your own smartphone, computer, reliable internet, and comfort with web-based tools Able to pass a language proficiency and technical literacy assessment Responsive communicator — quick replies move you through onboarding faster Able to start within 48 hours Why PPH? 🌍 🌍 Your language skills are the whole point — and this project pays for them ⚡ Apply once, get contacted directly when a spot opens — no chasing 🏠 Work from anywhere, on your own schedule, alongside any other work you do 🤝 Clear task specs, no ongoing oversight, no micromanagement 💼 Real project experience with a global data and language services company ✨ Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: Cairo, Cairo Governorate, Egypt SMS Data Collection Participant - Arabic (Egypt) Rate: $2.50 USD per qualified message Location: Remote: Participants must be based in Egypt Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and Egypt phone number The Project Productive Playhouse is seeking Arabic-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $2.50 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in Arabic . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions must be SMS messages received directly on your mobile phone. Only submissions that meet requirements will be eligible for payment Project Requirements You may be a good fit if you: Are a native or expert-level fluency in Arabic , as spoken in Egypt Currently located in Egypt Have access to your own mobile device You must have access to your own Egypt phone number Can follow project guidelines and quality standards Why PPH? Your language skills are the whole point — and this project pays for them Apply once, get contacted directly when a spot opens — no chasing Work from anywhere, on your own schedule, alongside any other work you do Clear task specs, no ongoing oversight, no micromanagement Real project experience with a global data and language services company Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: Baghdad, Baghdad Governorate, Iraq SMS Data Collection Participant - Arabic (Iraq) Rate: $2.50 USD per qualified message Location: Remote: Participants must be based in Iraq Schedule: Flexible Project type: Short-term/project-based Device requirement(s): You must use your own mobile phone and Iraq phone number The Project Productive Playhouse is seeking Arabic-speaking participants for a mobile messaging data collection project. Participants will submit authentic scam and spam SMS messages received on their personal mobile phones to help improve technology designed to identify fraudulent and unwanted communications. This is a flexible, remote opportunity. Participants may submit eligible messages whenever they receive them, provided all submissions meet project requirements.. Your contributions will support the development of tools designed to make mobile messaging safer for users around the world. Why Participate? Earn $2.50 USD for each qualified message you submit Participate remotely on a flexible schedule Help improve scam-detection technology by showing how real messages appear in Arabic . Duties Submit authentic SMS messages that meet project guidelines Identify each message as either Scam or Spam Categorize submissions according to the appropriate message type Ensure all submissions are complete, accurate, and meet quality standards Follow all project instructions and submission requirements Please note: Messages collected from email or other platforms are not eligible. Submissions must be SMS messages received directly on your mobile phone. Only submissions that meet requirements will be eligible for payment Project Requirements You may be a good fit if you: Are a native or expert-level fluency in Arabic , as spoken in Iraq Currently located in Iraq Have access to your own mobile device You must have access to your own Iraq phone number Can follow project guidelines and quality standards Why PPH? Your language skills are the whole point — and this project pays for them Apply once, get contacted directly when a spot opens — no chasing Work from anywhere, on your own schedule, alongside any other work you do Clear task specs, no ongoing oversight, no micromanagement Real project experience with a global data and language services company Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.