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Lensa partners with DirectEmployers to promote this job for GovCIO. EOE, including disability/vets.Posted Pay RangeThe posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity.

[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Entry level] About Us:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.Turing supports customers in two ways:first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Project Overview:As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.What Does a Typical Day Look Like?Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.Build agents that can verify the quality of the code and identify error patterns.Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on themDesign verification mechanisms that can automatically verify a solution to a software engineering task.Required Skills:Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.Excellent oral and written communication skills for clear, structured evaluation rationales.Engagement Details:Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required)Type: Contractor (no medical/paid leave)Duration: 1 month (starting next week; potential extensions based on performance and fit)Location:Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …)Note: As part of assessments you will go through an AI video interview.After applying, you will receive an email with a login link.

[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Entry level] About Us:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.Turing supports customers in two ways:first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Project Overview:As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.What Does a Typical Day Look Like?Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.Build agents that can verify the quality of the code and identify error patterns.Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on themDesign verification mechanisms that can automatically verify a solution to a software engineering task.Required Skills:Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.Excellent oral and written communication skills for clear, structured evaluation rationales.Engagement Details:Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required)Type: Contractor (no medical/paid leave)Duration: 1 month (starting next week; potential extensions based on performance and fit)Location:Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …)Note: As part of assessments you will go through an AI video interview.After applying, you will receive an email with a login link.

[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Entry level] About Us:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.Turing supports customers in two ways:first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Project Overview:As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.What Does a Typical Day Look Like?Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.Build agents that can verify the quality of the code and identify error patterns.Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on themDesign verification mechanisms that can automatically verify a solution to a software engineering task.Required Skills:Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.Excellent oral and written communication skills for clear, structured evaluation rationales.Engagement Details:Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required)Type: Contractor (no medical/paid leave)Duration: 1 month (starting next week; potential extensions based on performance and fit)Location:Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …)Note: As part of assessments you will go through an AI video interview.After applying, you will receive an email with a login link.

They'll create backend services that can orchestrate complex workflows from processing user queries through AI models to falling back on traditional search, from ingesting real-time surveillance data to caching AI responses for performance. This engineer will implement critical patterns like circuit breakers for AI service failures, rate limiting for expensive model calls, and audit logging for AI interactions that may need review.

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Entry level] Software Recruitment Solutions is partnered with a rapidly scaling sales-tech startup that empowers thousands of revenue teams to operate faster and more efficiently.They’re hiring Full-Stack Software Engineers strong in TypeScript capable of building scalable systems end-to-end, contributing across the stack and helping shape the future architecture of a high-performance real-time platform.You’ll join a high-ownership engineering org solving complex technical challenges in performance, concurrency and distributed systems at scale.Key Skills:Strong proficiency with TypeScriptBackend engineering with Node.jsFrontend experience with ReactFamiliar with cloud environmentsBonus but not required: Telephony/SIP systems, CRM integrations, AI/LLM products.This is a chance to join a first-to-market startup and play a pivotal role in their continued success.If this sounds like the type of challenge you’re after, we’d love to hear from you.Software Engineer | Full Stack Engineer | Full Stack Developer | TypeScript | Node.js | Postgres

We appreciate the individuality of the people around us.JOB SUMMARY:The Senior Business Intelligence Developer (Power BI) is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that enable data-driven decision-making across the organization. This role partners closely with business stakeholders to define reporting needs, build scalable Power BI dashboards and semantic models, and ensure consistency of KPI definitions, governance, and data integrity.This role drives best practices across data modeling, visualization standards, performance optimization, and self-service enablement.SUMMARY OF ESSENTIAL JOB FUNCTIONS:Power BI Development & DeliveryDesign and develop high-quality Power BI reports and dashboards that align to business goals and stakeholder needs.Translate business requirements into scalable BI solutions, including dashboards, scorecards, KPI tracking, and ad-hoc reporting.Create and maintain reusable Power BI assets (measure libraries, templates, report standards, certified datasets).Semantic Modeling & Data DesignDevelop and maintain Power BI semantic models (datasets) using best practices (star schema, proper relationships, optimized DAX).Build and optimize DAX measures, calculations, and model performance to ensure fast, reliable reporting experiences.Partner with Data Engineering and IT teams to define data requirements and improve data quality and accessibility.Data Governance & KPI StandardizationEnsure consistency of KPI definitions, business logic, and metric interpretation across dashboards and stakeholders.Contribute to and support a structured approach to certified dashboards/datasets, KPI documentation, and reporting governance.Establish and maintain strong documentation, including metric definitions, refresh cadence, and data lineage.Security, Access, and ComplianceImplement and maintain Row-Level Security (RLS) and access control structures aligned to business and security requirements.Ensure dashboards follow data handling, privacy, and compliance requirements as defined by internal governance and security teams.Operational Support & Continuous ImprovementProvide production support for BI solutions, including troubleshooting, incident resolution, and continuous enhancement.Monitor and improve performance, refresh reliability, and user experience.Identify opportunities to improve efficiency via automation, self-service enablement, and reduction of recurring manual reporting requests.Collaboration & LeadershipAct as a trusted partner to business leaders, supporting prioritization, planning, and reporting roadmap discussions.Mentor junior BI developers/analysts and support standardization of development practices across the team.Contribute to process maturity, including intake/triage, requirements definition, and delivery best practices.Required Qualifications:5+ yearsof experience in Business Intelligence, reporting, analytics, or a related discipline.3+ yearsof strong hands-on experience withPower BI, including:Data modeling and dataset designDAX development and optimizationPower Query transformationsReport performance tuningExperience gathering requirements and translating them into scalable reporting solutions.Strong understanding of relational data concepts and reporting design patterns (star schemas, facts/dimensions).Ability to work across technical and business stakeholders and communicate clearly at multiple levels.Skills & CompetenciesAdvanced Power BI development (DAX, modeling, optimization)Strong business acumen and ability to translate stakeholder needs into measurable BI outcomesDocumentation discipline (data definitions, metric catalogs, reporting standards)Excellent problem-solving and root cause analysisAbility to work in a fast-paced environment with shifting prioritiesCollaboration and mentorship mindsetPreferred Qualifications:Experience withSQLand working directly with data sources (data warehouses, data lakes, transactional systems).Experience with Power BI governance practices (certified datasets, workspace strategy, deployment pipelines, versioning).Familiarity with enterprise platforms such as:NetSuite, Salesforce, ServiceNow, Monday.com, PSA platforms, or similar systems.Exposure to modern data platforms such asAzure, Snowflake, Databricks, Microsoft Fabric, or equivalent.Understanding of financial and operational KPIs (e.g., revenue, GP/GM, utilization, backlog, bookings).Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs.