--- title: 'Workforce Experience Associate / Specialist at SuperAnnotate AI' canonical: 'https://feeny.ai/job/workforce-experience-associate-specialist-superannotate-ai-dhaka-5029ehcrtewd' type: 'job' last_seen: '2026-09-09' --- # Workforce Experience Associate / Specialist at SuperAnnotate AI - **Company:** SuperAnnotate AI - **Location:** Dhaka, Bangladesh - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-09 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.lever.co/superannotate/8a18cde1-5e65-40d4-9e8e-fb7dbbf004f1 ## Job description ## About SuperAnnotate SuperAnnotate is a San Francisco based AI company. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand — while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as thehighest-ranked platform on G2. ## Why This Role Matters We are seeking a highly detail-oriented Workforce Experience Associate / Specialist to support the execution of complex Large Language Model (LLM) and multimodal annotation projects. As a Workforce Experience Associate / Specialist, you will play a key role in keeping LLM and multimodal annotation projects on track while ensuring contractors remain productive and supported after onboarding. This role bridges AI data operations and contractor success, helping resolve operational, technical, and payment-related issues that can impact delivery and quality. Your work will directly influence on-time delivery, data quality, and contractor experience—critical to scaling AI data pipelines for global enterprise clients. ## What You Will Do - Own and drive the end-to-end execution of complex LLM, multimodal, and annotation workflows, ensuring adherence to project requirements, quality standards, delivery timelines, and operational priorities. - Translate project requirements into clear execution strategies, task structures, and actionable guidance for Associates, annotators, and QA specialists, including handling ambiguous guidelines and edge cases. - Manage workforce allocation across projects by assigning, prioritizing, and rebalancing tasks based on skill fit, availability, performance trends, delivery constraints, and operational risk. - Drive daily operations by monitoring task progress, throughput, quality metrics, and delivery health; proactively identify risks, resolve blockers, and ensure on-time project completion. - Serve as a key operational point of contact for Associates, annotators, and QA specialists, providing guidance, clarifications, and execution support. - Monitor quality and operational performance, conduct root-cause analysis of systemic issues, identify recurring error patterns, and recommend process improvements and risk mitigation strategies. - Escalate complex operational, contractor, and project-related issues to stakeholders with clear context, impact assessment, and proposed resolutions; act as an escalation point for Associates when deeper analysis or cross-functional coordination is required. - Manage post-onboarding contractor issues, including execution blockers, platform access, workflow questions, performance concerns, and payment-related inquiries, coordinating with Support, Engineering, Finance, Talent, and other stakeholders to ensure timely resolution. - Maintain accurate documentation, reporting, and issue tracking related to project execution, quality outcomes, operational metrics, contractor support, and key learnings. - Contribute to the continuous improvement of SOPs, operational playbooks, communication templates, and workflow processes to support scalable and efficient AI data operations. - Support and mentor AI Workforce Experience Associates by sharing best practices, providing operational guidance, and assisting with complex issue resolution. - Collaborate cross-functionally to build a scalable, reliable, and contractor-friendly AI data operations environment that delivers high-quality outcomes for global enterprise clients. ## What You Will Bring - Educational Background: Bachelor’s degree in any relevant field - English proficiency: C2 level (Proficient / Near-Native) required. - Experience: 1-3 years - Strong understanding of annotation workflows, especially for LLM, NLP, vision-language, or multimodal projects. - High proficiency in task tracking using spreadsheets and collaboration tools. - Strong organizational skills with the ability to manage multiple task streams simultaneously. - Proactive problem-solver with a keen eye for operational gaps and execution risks. - Experience with Slack, Discord, Jira, or similar collaboration/project tools is a plus. - Familiarity with data annotation platforms and QA workflows. - A basic understanding of LLM or multimodal AI concepts is a strong advantage. - Exposure to scripting or automation (e.g. Python, Sheets formulas) is a plus. Why Join Us? - Work on cutting-edge LLM and multimodal AI projects used by global enterprise clients. - Gain hands-on exposure to real-world AI data operations at scale. - Build strong operational, coordination, and problem-solving skills in a fast-growing AI infrastructure environment. Work Schedule & Location - 24/7 operational environment supporting global AI projects. - Location: Mirpur DOHS (Remote and/or Hybrid) Schedule and Shifts - Any 5 working days per week (rostered), which may include weekends based on operational requirements. - Rotational shifts aligned with 24/7 operational requirements. - Shifts will be assigned based on project needs and team rostering, with advance notice provided. Our Unique Offers Innovative Environment: Join a top Global AI innovator at the forefront of cutting-edge advancements. Impactful Work: Contribute to global AI progress and shape the future of technology by building our human data engine. Growth Opportunity: Ideal for professionals seeking new challenges in the global AI industry. Competitive Compensation: Enjoy a rewarding salary and a comprehensive benefits package. Multicultural Exposure: Thrive in a diverse collaborative environment that fuels innovation. Only shortlisted candidates will be contacted for an interview! The job will require to be contracted through our local partner in Bangladesh. ## Equal Opportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. ## About SuperAnnotate AI ## Company Overview - **One-liner**: SuperAnnotate provides a data-centric platform and integrated managed services for building, evaluating, and aligning frontier AI models through high-quality human data annotation and reinforcement learning. - **Entity Type**: Private (Series B, $50M total funding) - **Headquarters**: San Francisco, California, USA - **Founded**: 2018 - **Founders**: Vahan Petrosyan (CEO & Co-founder), Tigran Petrosyan (Co-founder) ## Core Business - Primary industry/industries: AI Data Infrastructure, Software Development, Data Annotation & Evaluation - Target customers: Enterprise AI teams, frontier research labs, and advanced AI model builders (B2B/Enterprise) - Mission or purpose statement: "Accelerate the pace of AI innovation to create a smarter, safer, and more sustainable world." ## Products & Services - **Platform**: A feedback-driven annotation and evaluation platform to create and manage training data. Includes tools for building custom annotation UIs (low-code "Builder"), orchestrating CI/CD pipelines, automating data workflows, and fine-tuning AI models. - **Managed Services**: A global network of thousands of rigorously vetted experts for ethical, scalable managed operations, precise talent matching, and end-to-end project visibility. Powers annotation, evaluation, and reinforcement learning workflows. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: $50M total funding raised (Series B of $36M in Nov 2024, expanded to $50M with a $13.5M investment from Dell Technologies Capital in June 2025). Annual revenue is estimated at $45.5M. - **Notable Investors/Partners**: NVIDIA, Databricks Ventures, Dell Technologies Capital, Cox Enterprises (via Socium Ventures), Lionel Messi’s Play Time VC, Base10 Partners, Point Nine Capital. - **Growth Signals**: Named 2025 Databricks Customer Impact Partner of the Year. Workforce of 253 employees (+19.9% YoY). Trusted by Databricks, IBM, and ServiceNow. Rated #1 AI Data Company on G2. ## Competitive Advantages - **End-to-End Platform + Services**: Combines a purpose-built technology platform with a global network of vetted experts, offering full project visibility and control. - **Top-Tier Backing & Trust**: Backed by leading AI infrastructure players (NVIDIA, Databricks) and trusted by major enterprise innovators, creating a powerful ecosystem and credibility. - **Focus on Complex Frontier AI Workflows**: Specifically designed for advanced tasks like evaluation, alignment, and reinforcement learning, not just basic annotation. ## Strategic Focus - Scaling its global expert network and platform capabilities to meet the exploding demand for high-quality human data to build, evaluate, and align frontier AI models. - Deepening partnerships within the AI ecosystem (e.g., with NVIDIA, Databricks) to integrate its offerings and expand its enterprise customer base. ## Why Work Here - **Culture & Values**: Described as a fast-paced environment fostering innovation, professional development, and personal growth. Core values focus on collaboration, ownership, and impact. - **Team & Global Presence**: A diverse team of 253 people across 48 countries, with offices in San Francisco (HQ), Yerevan, Armenia, and Stockholm, Sweden. Offers a hybrid work model for many roles. - **Benefits**: Offers health insurance & wellness programs, stock options, growth & development opportunities, and a retirement plan. - **Engineering & Technical Environment**: A significant portion of the workforce (18%) is in technical roles. The company is building the "backbone of AI," working on cutting-edge problems in data infrastructure for large language models and frontier AI. - **Hiring Process**: A transparent, structured process: Resume screening → Recruiter screen → Team meet → Skills assessment → Leadership interview. All candidates for a given role go through the same process. They are an equal opportunity employer. ## Sources 1. [superannotate.com](https://www.superannotate.com/company) 2. [superannotate.com](https://www.superannotate.com/careers) 3. [linkedin.com](https://www.linkedin.com/company/superannotate) 4. [cbinsights.com](https://www.cbinsights.com/company/superannotate) 5. [jobs.lever.co](https://jobs.lever.co/superannotate) ## Other roles at SuperAnnotate AI - [Research Engineer](https://feeny.ai/job/research-engineer-superannotate-ai-san-francisco-84vwmt7042sg) — San Francisco, CA - [Global Account Director](https://feeny.ai/job/global-account-director-superannotate-ai-san-francisco-f341bsz8dz6x) — San Francisco, CA - [Strategic Projects Lead (Technical)](https://feeny.ai/job/strategic-projects-lead-technical-superannotate-ai-san-francisco-58zdv2bywm55) — San Francisco, CA - [Test Engineer](https://feeny.ai/job/test-engineer-superannotate-ai-yerevan-yqv663a6c5kw) — Yerevan, Armenia