Top Remote Entry Level Jobs in Portland, ME

Pre-sales Sales Engineer partnering with prospective customers to evaluate CoLab’s AI-powered mechanical engineering collaboration platform. Responsibilities include tailored product demonstrations, workflow discovery, evaluation execution, ROI articulation, customer onboarding support, and collaboration with Sales, Product, Marketing, and Customer Success. The role requires mechanical engineering expertise, product development experience, CAD/PLM knowledge, strong communication skills, and frequent North American travel.

Manage high-volume partner sales deals from quote through signature, including pricing, discounts, proposals, order review, account activation, and follow-up. Support partner representatives selling AI-powered contact center and communications solutions, determine SPIF eligibility, and cover Channel Manager responsibilities when needed. The role requires strong organization, communication, relationship-building, B2B sales support, channel sales, account management, and familiarity with telecom, UCaaS, or CCaaS solutions.

Leads AI governance and assurance engagements, designing policies, controls, operating models, risk assessments, and compliance programs. Evaluates AI security, model governance, third-party solutions, and control effectiveness against frameworks including NIST AI RMF, ISO 42001, and the EU AI Act. Collaborates with security and engineering teams to test threats such as prompt injection, model manipulation, data poisoning, and leakage. Advises executives and clients, develops methodologies and proposals, researches emerging AI risks and regulations, and supports business development.

Review and annotate robotic-system video footage by identifying objects, movements, events, visual features, and anomalies. Provide feedback to improve video datasets and annotation consistency, collaborate with AI teams on annotation protocols, document observations, participate in quality reviews, and recommend improvements to video capture and labeling strategies.

Optimize GPU kernels using CUDA and profiling tools to improve computational throughput across modern hardware. Refactor C++ and CUDA code, implement GLSL and WebGPU shader workflows, analyze performance bottlenecks, document optimization findings, and collaborate with stakeholders on GPU-based approaches and metrics.

Create reproducible data science and machine learning tasks with verified reference solutions, robust tests, and evaluation criteria. Investigate coding-agent failures, identify implementation errors and data leakage, refine task designs, and document requirements and verification steps. The role requires competitive data science experience, mathematical reasoning, programming ability, and practical expertise in implementing and validating solutions.

Leads the full lifecycle of shared platform, cloud, DevOps, CI/CD, and SRE capabilities. Owns platform roadmaps, infrastructure as code, release automation, quality gates, observability, reliability practices, incident processes, and developer experience improvements. Partners with Engineering, IT Operations, Security, and Quality in a regulated environment, leads platform engineers in India, evaluates AI-assisted tools, and serves as a hands-on technical leader.

Manage the lifecycle of government contract vehicles for state, local, and education accounts. Ensure compliance with contractual terms, FAR, DFAR, and applicable regulations; maintain contract records; support sales, proposals, bids, pricing, and procurement activities; monitor government opportunities and market trends; and recommend contract strategies aligned with business objectives.

Entry-level placement supporting hyperscale data centre infrastructure. Responsibilities include installing, repairing, replacing, and decommissioning hardware; conducting inspections, preventative maintenance, cabling and port testing; managing spare-parts inventory; documenting repairs; coordinating with technical teams; and responding to critical hardware issues. The programme provides hands-on experience with mission-critical systems, reliability engineering, networking, power, cooling, automation, and controls in a safety-focused U.S. environment.

Build and validate forecasting, optimization, anomaly detection, and measurement models using complex customer data. Perform exploratory analysis, experiments, backtesting, and error analysis; partner with ML and data engineers to productionize models, features, evaluation pipelines, and monitoring. Translate business questions into analytical recommendations and communicate findings to technical and non-technical stakeholders. The role is hybrid in New York City or remote in the U.S. with monthly travel to New York.

Design and implement security across infrastructure, applications, data, and AI systems. Own authentication, authorization, tenant isolation, secure log ingestion and querying, and AI security risk mitigation. Lead security incident response and postmortems, establish practical security practices, and partner with engineering to integrate security into development. The role requires application or infrastructure security experience, knowledge of OWASP vulnerabilities, and experience securing distributed systems and APIs.

Under direct supervision, designs and redesigns product components and assemblies using engineering software. Reviews customer requirements, creates technical drawings, performs design and material analyses, and supports prototype assembly and testing. Evaluates warranty, manufacturing, and validation failures to improve product performance, manufacturability, reliability, and sustainability. Documents testing results, contributes to technical reports and presentations, and recommends improvements to processes and systems.