Part of The Brandtech Group, fifty-five is a data consultancy helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer experience.
\nWithin the team based in Shanghai, you will actively take part in delivering fifty-five's projects to multiple clients across the region. Those projects can relate to onsite conversion optimisation and/or digital media-mix optimisation as well as sophisticated ML-powered initiatives.
\nAs a Digital Analytics Consultant, you will follow an action plan, issuing various deliverables during the project. You will guarantee the quality of web analytics data as well as its interpretation during delivery sessions with the client.
\nBased on your good understanding of our expertise and our clients' needs, you will collaborate with all of our teams to develop fifty-five's offer, both in terms of marketing and in terms of technical and operational delivery.
\nResponsibilities: Deliver missions related to the monitoring of the client's digital activity based on key performance indicators (reporting), to onsite conversion optimisation through data analysis and web testing, and to online media buy optimisation Analyse data and structure relevant information for the client's benefit, in line with business indicators specific to their industry (eg. mobile operators, retail, travel, etc.) Develop a sharp operational expertise on both conversion and online media-buy topics Meet clients' needs and pay attention to the quality of all deliverables
\nEducation and Experience: Master's degree (business, engineering) or equivalent diploma Fluent in English and Chinese written and spoken 0-2 years (Consultant) / 3-5 years (senior Consultant) experience in project management or digital marketing, consulting firms (strategy, organization, change management, IS, etc.), business Intelligence software publishers (SAP, etc.), or media-buy agencies, digital or traditional Experience in Sensors Data is A PLUS Knowledge of the main online acquisition channels: search engines (SEO, SEM and bid-management tools), display, affiliate marketing, emailing, social media, AdExchange, web and mobile applications, etc.s Industry web analytics tool
\nSkills and Interests: Excellent communication, both oral and written Strong analytical skills Good social spirit Laid back but professional Curious and willing to learn (a lot!) Strong interest in new technologies and the digital industry
\nBenefits: 20 days Annual Leaves Extra medical coverage, including inpatient and outpatient Work remotely (Maximum 2 days a week Work From Home policy) Regular team activities including TGIF, team lunch and Off-site! A multicultural environment with employees from over 20 countries Values centred on excellence, caring and sharing Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by ongoing training sessions, etc.) Particular importance given to work-life balance and the right to disconnect The opportunity of taking part in internal projects such as The Data Hive (a “tech for good” project initiated by fifty-fivers, whose aim is to put knowledge and expertise at the disposal of charitable organisations) or Women@55 (a committee with the aim of discussing gender equality and the role of women in consulting, Tech and at fifty-five)
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\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nWe're the only company offering three integrated solutions for frontier AI development:
\nWhy Join Us
\nRole Overview
\nWe’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.
\nYou’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.
\nYour Impact
\nDesign, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.
\nBuild systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.
\nDesign and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.
\nBuild systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.
\nDesign and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).
\nBuild thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.
\nDesign APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.
\nTranslate loosely defined operational and research needs into practical, scalable, end-to-end systems.
\nParticipate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.
\nImprove engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.
\nWhat You Bring
\nBonus Points
\nEngineering at Labelbox
\nAt Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.
\nOur Technology Stack
\nOur engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
\nLabelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
\nAnnual base salary range $130,000-$200,000 USD
\nLife at Labelbox
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