Portland, OR · On-site +1
$95K - $142K/yr
... training. Compensation Range: $95,300.00 - $142,900.00 Compensation may vary based on applicant ... AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ...
Portland, OR · On-site +1
$95K - $142K/yr
... training. Compensation Range: $95,300.00 - $142,900.00 Compensation may vary based on applicant ... AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ...
Eugene, OR · Hybrid
$69K - $140K/yr
... AI-enabled knowledge and digital service tools, including chatbot services and agent-assist ... Coordinate with business unit stakeholders, project teams, training, compliance, risk, and ...
Eugene, OR · Hybrid
$69K - $140K/yr
... AI-enabled knowledge and digital service tools, including chatbot services and agent-assist ... Coordinate with business unit stakeholders, project teams, training, compliance, risk, and ...
An AI Chatbot Training job involves teaching and improving chatbot responses by analyzing conversations, refining language models, and ensuring accurate and helpful interactions. Trainers review chatbot outputs, correct errors, and provide data to enhance machine learning processes. This role requires attention to detail, strong language skills, and an understanding of AI technologies to improve chatbot accuracy and user experience.
As an AI Chatbot Training specialist, your daily tasks may include annotating and preparing conversational datasets, training the chatbot models, evaluating chatbot responses for accuracy, and iterating on training data to improve performance. You often work closely with data scientists, software engineers, and product managers to align the chatbot’s behavior with business goals and user expectations. Additionally, you might provide feedback on chatbot interface design and help resolve edge cases or unexpected user inputs. This collaborative and iterative work environment offers valuable experience in both technical and communication skills, setting the stage for potential growth into advanced AI or product roles.
To thrive in AI Chatbot Training, you need a strong background in natural language processing, machine learning, and data annotation, usually supported by a relevant degree in computer science or a related field. Familiarity with chatbot development platforms, version control systems, and conversational AI frameworks, along with knowledge of annotation tools and Python, is highly valued. Attention to detail, critical thinking, and effective collaboration are standout soft skills for this position. These skills ensure the chatbot is accurately trained, continuously improved, and able to provide high-quality, human-like interactions.
The most popular types of Ai Chatbot Training jobs in Oregon are:
For Ai Chatbot Training jobs in Oregon, the most frequently searched job titles are:
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Portland, OR • On-site, Remote
7.7
Based on 55 frontline employees who took The Breakroom Quiz
194th of 544 rated manufacturers
People enjoy working here
Good employer
Respectful managers
Uninterrupted breaks
$95K - $142K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 26 days ago
EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.
What We're Offering
Compensation Range: $95,300.00 - $142,900.00
Compensation may vary based on applicant's work experience, education level, skill set, and/or location.
Work Arrangement: Hybrid (Reading, PA) or Remote
Hybrid Schedule for Local Candidates:
Monday & Friday: Remote
Tuesday-Thursday: Onsite at our Reading, PA location
Candidates outside the Reading, PA area may be considered for a fully remote arrangement.
The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will require project leadership and coordination with cross-functional departments. This role sits at the intersection of Finance, Technology, and Process Improvement and focuses on eliminating manual work, accelerating reporting cycles, and enabling scalable, intelligent workflows across the Finance organization. The role will partner with finance teams to map current processes, identify automation opportunities, and redesign workflows to reduce manual effort and cycle time. This position will deploy solutions into production environments, validate outputs with stakeholders and coordinate with IT for access, infrastructure, & governance. The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such as Value Stream analysis and Finance SharePoint Administration, etc.
EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Know Your Rights
Know Your Rights (Spanish)
We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.
