Prolific

Prolific is a forward-thinking technology company focused on innovation and development. Currently, they are seeking to expand their team with a Senior Software Engineer to contribute to their projects.

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Jobs at this company:

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🔥 Human Data Operations Partner

Posted 13 days ago

📍 UK

🔍 AI and human data infrastructure

🔧 Requirements

Experience in operations, ideally in marketplace or platform environments.
Demonstrated ability to manage multiple projects in a fast-paced environment.
Strong project management skills with attention to detail.
Experience in implementing processes for efficiency.
Proficiency in tools such as Metabase, Zapier, Asana, and HubSpot.
Exceptional communication and documentation skills.
Confidence with data analysis and operational metrics.
Familiarity with human data operations and participant recruitment.
Experience supporting AI/ML lifecycle projects.
Understanding of Prolific's platform for human data.

💡 Responsibilities

Serve as a key resource for client-specific AI delivery teams.
Manage participant onboarding, verification, and activation processes.
Address gaps in participant supply and align with AI task requirements.
Develop project plans, workflows, and enablement materials.
Maintain high-quality and diverse participant pools.
Implement verification processes for domain experts.
Optimize participant onboarding and activation funnels.
Monitor participant engagement and metrics to drive improvements.
Contribute to upskilling programs for participants.
Collaborate with product and customer success teams.

Project ManagementData AnalysisCross-functional collaborationProcess improvementData management

Posted 13 days ago

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🔥 AI Participant Acquisition Specialist

Posted about 2 months ago

📍 UK

🔍 AI and machine learning

🔧 Requirements

Experience in recruitment or outreach, preferably in tech, AI, or research-related fields.
Strong understanding of AI and machine learning concepts.
Ability to multitask and manage multiple recruitment projects concurrently.
Excellent project management skills with a track record of meeting deadlines.
Strong understanding of diverse demographic groups.
Proficiency in using social media and industry-specific channels for recruitment.
Innovative mindset for developing creative recruitment strategies.
Understanding of ethical considerations in AI development.
Experience with outreach campaigns and community building.

💡 Responsibilities

Work closely with the sales team to understand AI project requirements and participant needs.
Analyze the existing participant database to identify gaps in availability.
Develop and implement targeted recruitment strategies to fill gaps for AI-focused studies.
Manage multiple ongoing recruitment initiatives based on client deadlines.
Provide timely updates to the sales team and participate in client calls regarding participant sourcing strategies.
Collaborate with marketing to develop long-term recruitment strategies.
Stay informed about trends in AI research and adjust recruitment approaches accordingly.

Project ManagementArtificial IntelligenceData AnalysisMachine LearningRecruitmentMarket Research

Posted about 2 months ago

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🔥 Head of Human Data Operations

Posted about 2 months ago

📍 UK

🔍 AI and tech

🔧 Requirements

Extensive experience in operations, workforce management, or a related field, ideally within AI, tech, or high-growth environments.
Expertise in scaling human data or talent supply ecosystems focused on quality, efficiency, and diversity.
Experience in developing an accredited AI research and development workforce that meets current and future client demands.
Strong background in leading teams and managing cross-functional initiatives.
Proven ability to design and execute scalable operational frameworks.
Experience in designing training, certification, and upskilling programs.
Proficiency in analyzing performance metrics to drive improvements.
Skilled at managing stakeholders and aligning teams.
Familiarity with AI/ML lifecycle processes, including ethical considerations.

💡 Responsibilities

Develop and execute the vision and strategy for Prolific’s human data operations.
Lead and grow a high-performing team focused on participant acquisition, onboarding, enrichment, support, and task performance monitoring.
Build a scalable operating model to ensure a high-quality supply pipeline for AI customers.
Oversee recruitment and onboarding, including domain experts and taskers, ensuring scalability and diversity.
Drive development of comprehensive upskilling programs for AI customer requirements.
Ensure training initiatives are implemented via Prolific’s platform.
Collaborate with product teams to enhance platform features.
Act as primary contact for strategic AI customer projects.
Build relationships with SMEs for domain-specific tasks.

LeadershipProject ManagementArtificial IntelligenceData AnalysisData management

Posted about 2 months ago

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🔥 Senior Applied Researcher

Posted about 2 months ago

📍 UK

🔍 AI and human data infrastructure

🔧 Requirements

Extensive experience designing and delivering training programs in tech-driven environments, focusing on AI and scalable training solutions.
Expertise in instructional design for technical roles, including competency-based assessments and certifications.
Expertise in LLMs/ML and AI, designing training programs, assessment and grading systems for AI research.
Experience deploying learning programs through proprietary platforms or similar ecosystems.
Proficiency with tools such as Articulate 360, Adobe Captivate, and other eLearning platforms.
Strong understanding of assessment frameworks for skill verification, with experience designing scenario-driven evaluations.
Ability to leverage participant performance metrics to refine and improve learning programs.
Skilled at managing cross-functional stakeholders and working with SMEs.

💡 Responsibilities

Design and implement a proprietary training and assessment framework to accredit participants as AI taskers and domain experts, ensuring high task quality and adherence to ethical AI principles.
Build scalable, role-specific skill development pathways for onboarding, accreditation, and ongoing learning.
Collaborate with cross-functional teams to align programs with operational goals and customer requirements.
Monitor participant performance through platform analytics, identifying skill gaps and refining training content accordingly.
Regularly update training programs at pace to meet evolving AI customer needs and industry standards.
Manage relationships with internal stakeholders, including operations and customer success teams, to align training content with task complexity and project needs.
Act as the primary point of contact for subject matter experts (SMEs), driving the creation of accurate and relevant content.
Lead efforts to ensure that all training programs are highly engaging, scalable, and accessible to a diverse, global participant base.

Artificial IntelligenceMachine LearningContent creationData analytics

Posted about 2 months ago

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🔥 Analytics Engineer

Posted 3 months ago

📍 UK

💸 50000 - 55000 GBP per year

🔍 AI and Data Infrastructure

🔧 Requirements

Deep experience with dbt and SQL.
Strong familiarity with cloud platforms like AWS and GCP.
Passion for ensuring high data quality through tests and documentation.
Ability to understand business needs and communicate with non-technical stakeholders.
Advocating for best practices in logging and data modeling.
Skilled at working cross-functionally and translating complex concepts.
Proficiency in designing repeatable and scalable workflows for data transformation.

💡 Responsibilities

Create complex dbt models, custom macros, and reusable packages.
Monitor and maintain dbt workflow jobs for data refreshes.
Write tests and assertions for data integrity.
Document and standardize dbt processes.
Translate technical data issues into understandable business terms.
Support junior analysts and data engineers with best practices.
Collaborate with product, engineering, and BI teams to align data infrastructure with business needs.

AWSLeadershipSQLCloud ComputingData AnalysisGCPProduct ManagementAmazon Web ServicesCommunication SkillsAnalytical SkillsCollaborationMentorship

Posted 3 months ago

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🔥 Technical Lead

Posted 4 months ago

📍 UK

🔍 AI Development

🔧 Requirements

Extensive experience in technical leadership or senior software development roles.
Demonstrable problem-solving skills and strategic thinking capabilities.
Excellent interpersonal and communication skills for leading diverse teams.
Familiarity with agile methodologies and project management practices.
5+ years of professional software development experience, particularly with cloud-based applications.
Bachelor’s degree in Computer Science or related field or equivalent technical experience.
Expertise in cloud platforms like Google Cloud Platform and AWS.
Proficiency in programming languages such as Python, JavaScript, and TypeScript.
Experience with frameworks like Vue.js and Django Rest Framework.
Understanding of databases like MongoDB and DynamoDB.
Familiarity with DevOps and monitoring tools such as CircleCI, Kubernetes, and DataDog.

💡 Responsibilities

Collaborate with Product Managers and stakeholders to define scope and resources.
Act as a trusted advisor to the Product Manager on technical solutions.
Translate complex problems into feasible technical solutions.
Write high-quality, efficient code.
Lead design and implementation of technical projects.
Resolve complex technical issues and make informed decisions.
Manage code reviews and uphold coding standards.
Ensure high quality of production software.
Continuously improve the software building process.
Mentor team members in a collaborative environment.
Participate in a technical design authority group.
Cultivate a DevOps culture with continuous integration.
Collaborate with Engineering Managers on engineering standards.
Take ownership of team-developed products.
Stay updated on industry trends and advocate for new technologies.
Assist in hiring and onboarding new team members.

AWSLeadershipProject ManagementPythonSoftware DevelopmentAgileDesign PatternsDjangoDynamoDBJavascriptKubernetesMongoDBTypeScriptVue.JsProduct DevelopmentServerlessCommunication SkillsProblem SolvingAgile methodologies

Posted 4 months ago

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🔥 Strategic Account Executive

Posted 4 months ago

📍 United States

🧭 Full-Time

💸 $150,000 - $150,000 per year

🔍 AI and human data infrastructure

🔧 Requirements

Significant software sales experience with specific experience of successfully negotiating contracts of +$1m and managing complex sales cycles with highly technical contacts in the US.
Experience working with usage-based commercial models in a land and expand motion.
Outstanding communication and interpersonal skills (both written and verbal) with the ability to engage at all levels across a global business.
Exceptional collaborator, highly creative and resourceful.
Thrives in a scale-up environment, operating with experimental and growth principles in mind.
Experience selling an AI product or solution.

💡 Responsibilities

Working in a brand new, cross-functional, hybrid team responsible for promoting growth within a defined list of US strategic accounts.
Driving value for these clients, promoting adoption and usage, identifying and closing upsell and cross-sell opportunities and retaining and committing existing usage.
Strategic account planning and development that leads to consistent target attainment, pipeline generation, forecast accuracy and outstanding customer satisfaction.
Securing and nurturing US customer relationships at all levels of client teams, from end users to key business decision makers.
Drive alignment between Prolific and our US strategic customers, advocating for their needs and managing complex cross-functional initiatives to continuously deliver on them.

LeadershipArtificial IntelligenceBusiness DevelopmentCross-functional Team LeadershipStrategyCommunication SkillsAnalytical SkillsCollaboration

Posted 4 months ago

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🔥 Senior Software Engineer

Posted 5 months ago

📍 UK

💸 £75,000 - £90,000 per year

🔍 AI and Human Data Infrastructure

🔧 Requirements

Deep understanding of modern web applications.
Experience building Typescript/Javascript applications and using NoSQL databases.
Experience using Python, or similar language.
Knowledge of Event-Driven Architecture.
Experience using AWS (Serverless) and/or GCP.
Understand the importance of driving quality into code through test automation.
Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment.
Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like.
Care about the product life cycle and are customer value focused.
Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback.
Passionate about software development with an appetite for learning and self-improvement.

💡 Responsibilities

As a member of a cross-functional, stream aligned team you will work collaboratively with the teams’ engineering manager, product manager, designer, and up to 4-5 other engineers including a tech lead.
Using agile software development practices and a product mindset, you will work as a team to plan, build and support software that our customers love.
Collaborating with teams outside of product engineering, working closely with customers and understanding their needs.
With a You Build It, You Run It mindset, you will have intimate knowledge of our products from code commit through to production operation.
Supporting production systems with monitoring tools such as Datadog.
Strive for stable systems observability.
Push the boundaries, question the status quo, and ensure what we are doing and building has high value and impact for our users.

AWSPythonSoftware DevelopmentAgileDjangoDynamoDBGCPJavascriptKubernetesMongoDBTypeScriptVue.JsAzureServerlessNosql

Posted 5 months ago

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