
RWS · Tbilisi
We are looking for AI Data Specialists to support the improvement of AI-generated content in Georgian. Job Type: Freelance Location: Work from home Work Sched...
We are looking for AI Data Specialists to support the improvement of AI-generated content in Georgian.
Job Type: Freelance
Location: Work from home
Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.
Start Date: Immediately
Duration: TBC
Rate: 9 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?
What You’ll Do
The role involves performing diverse data-related tasks, including:
What We Offer
We are looking for AI Data Specialists to support the improvement of AI-generated content in Armenian. Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 8 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different) Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - Native-level fluency in Armenian - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents #LI-CAN17
SLSQ327R338 Databricks is seeking a Lakebase Sales Specialists to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Retail vertical to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for * 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. Preferred qualifications * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us. WHY JOIN FOXELLI? Foxelli is a place for people who think deeply, learn quickly, automate repetitive work, enjoy spending time together, and build things that matter. We work hard, joke often, and don’t take ourselves too seriously. If you’re excited about AI, eager to learn, and want to create work that genuinely means something with people who care, you’ll feel right at home with us - no matter where you are in your career. THE ROLE We're looking for a Churn Specialist to help us get closer to our customers - understand what they actually need, spot where we're falling short, and find ways to retain them. You'll work across multiple Foxelli Group brands, investigate the full customer lifecycle and turn data into initiatives that actually move the needle on retention. You won't just track churn numbers. You'll own the thinking behind what is happening with the brand and drive the ideas to help retain our customers. If you love: * getting into customer data and finding the story behind the numbers * mapping out a customer journey and spotting where things go wrong * testing ideas - onboarding tweaks, lifecycle flows, CRO experiments, win-back sequences, etc * using AI and automations to move faster and do more with less * understanding what makes customers stay (or leave) on a psychological level * working across multiple products and brands without losing focus And if you're someone who can take a messy churn problem, break it down into clear hypotheses, and see them through to results… …you might be our person 👀 🚀 WHAT YOU'LL BE DOING Churn Analysis & Research * Analyse churn patterns across multiple Foxelli brands - when customers drop, which segments are most at risk, and what's driving it * Research competitors and benchmark what best-in-class retention looks like in our space * Use AI tools to accelerate research, surface insights, and identify patterns * Build a clear picture of our customers - their motivations, frustrations, and what "good enough to stay" actually means to them Customer Journey & Onboarding * Audit the full customer lifecycle with a churn lens - from first-touch onboarding to long-term engagement * Identify drop-off moments and experience gaps that are costing us customers * Own initiatives to improve onboarding flows and early-stage activation Retention Initiatives & Experimentation * Develop hypotheses and run experiments - lifecycle communications, CRO tests, loyalty mechanics, win-back campaigns, cancellation flows * Build and maintain automations that support retention at scale - triggered flows, at-risk alerts, personalised sequences * Use AI to generate ideas, draft copy, simulate scenarios, and iterate faster * Track the impact of every initiative and iterate based on results * Document what worked, what didn't, and why AI & Automations * Build and maintain automations that support retention initiatives at scale * Proactively explore how AI can improve the way we understand and respond to churn * Stay current with new tools and bring ideas to the table before anyone asks WHAT YOU BRING * Proven experience diagnosing churn, not just reporting on it, but getting to the root of it * Comfortable working with data: cohort analysis, funnel metrics, A/B test results * Hands-on experience with customer journey mapping, onboarding optimisation, or CRO * Experience building automations: triggered flows, lifecycle sequences, or similar * Able to turn messy data into a clear point of view and present it to senior stakeholders * Has worked across multiple products or brands * Uses AI tools beyond basic prompts and actively looks for ways to automate and improve workflows THE RECRUITMENT PROCESS 1. Apply - A simple form that helps us know who’s stepping into our world. 2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space 3. Text Task - A small real-world challenge so we can see how you approach problems in action. 4. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together FIXED SERVICE FEE 2,500 - 2,800 euros after taxes (depending on your skills, competencies, and experience). PERKS & BENEFITS * Full flexibility with your schedule in a fully remote setting, while Hubstaff ensures transparency and fairness. * Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. * A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. * Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. * A budget for your home office setup so you’re comfortable working how you like and where you like. * Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. * Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. * For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.